High-resolution organic display drive waveform generation method

Abstract

The present application relates to organic light emitting display data processing technical field, especially high resolution organic display driving waveform generation method, through distributed parameter analysis, pixel matrix is divided into spatial block, using GPU node parallel extraction parasitic parameter and construct cross block coupling model, generate block parasitic parameter mapping table and characteristic vector matrix;Based on the residual charge data and dynamic gray scale segment control generation contains curvature parameter segmented waveform parameter set;Call brightness and voltage response data to execute nonlinear brightness correction, combined with light intensity feedback loop to generate compensation pulse parameters;According to the display content feature classification switch multi mode driving strategy, through phase locked loop phase synchronization to eliminate time sequence fault, the present application effectively suppresses parasitic effect interference and brightness mutation overshoot, improves the gray scale compensation accuracy and refresh rate synergy, enhances the display uniformity and dynamic picture smooth.

Description

Technical Field

[0001] This invention relates to the field of organic light-emitting display data processing technology, and more particularly to a method for generating driving waveforms for high-resolution organic displays. Background Technology

[0002] The driving waveform for high-resolution organic displays is the core electrical signal controlling the brightness and response speed of organic light-emitting units (OLEDs). It achieves dynamic control of pixel grayscale and color reproduction by precisely adjusting the amplitude, frequency, and duty cycle characteristics of voltage or current. As display resolution increases, pixel density rises, making the driving signal susceptible to interference from parasitic capacitance and inductance effects during transmission. This can cause waveform distortion or timing shifts, reducing display uniformity and the smoothness of dynamic images. To adapt to the nonlinear electrical characteristics of organic materials, the driving waveform needs to suppress charge residue in the low-frequency stage and increase edge steepness in the high-frequency stage to shorten pixel response time. Simultaneously, multi-level pulse superposition or dynamic compensation algorithms optimize grayscale accuracy, balancing refresh rate and signal fidelity under low power consumption constraints, ultimately improving the visual clarity and color consistency of high-resolution displays.

[0003] Existing dynamic compensation algorithms need to simultaneously process the nonlinear electrical parameters of the high-resolution pixel matrix and the dynamic refresh timing during the waveform generation process. This causes the data operation dimension to increase exponentially with the resolution. Traditional serial computing architecture cannot meet the real-time iterative optimization of waveform parameters under high frame rates, which leads to a mutual exclusion effect between grayscale compensation accuracy and refresh rate. This results in the accumulation of timing synchronization errors and a decrease in signal fidelity, ultimately limiting the dynamic response and color reproduction capabilities of high-resolution organic displays. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method for generating high-resolution organic display driving waveforms. This method solves the problem that in the process of generating high-resolution organic display driving waveforms, traditional dynamic compensation algorithms suffer from a surge in computational complexity due to the nonlinear parameters of the high-dimensional pixel matrix and the refresh timing synchronization, leading to a mutual exclusion between grayscale compensation accuracy and refresh rate. This results in the accumulation of timing synchronization errors and degradation of signal fidelity, thus restricting the dynamic response and color reproduction performance of the screen.

[0005] To solve the above-mentioned technical problems, the specific technical solution of the present invention is as follows:

[0006] The high-resolution organic display driving waveform generation method provided by this invention includes:

[0007] Receive the distribution parameters of the original pixel matrix, and generate a block-based parasitic parameter mapping table and pixel unit feature vector matrix containing the parasitic effect coupling model through distributed parameter parsing;

[0008] Based on the block-based parasitic parameter mapping table and the real-time monitored residual charge data, a segmented waveform parameter set containing a curvature parameter index table is generated through dynamic gray-scale segmented control.

[0009] According to the segmented waveform parameter set, the preset brightness and voltage response data are called to perform nonlinear brightness correction, and a driving waveform template and a compensation pulse parameter mapping table based on the light intensity feedback loop are generated.

[0010] Based on the dynamic feature classification results of the displayed content, the driving strategy is switched, and patterned driving waveform data containing phase-locked loop phase synchronization parameters is generated.

[0011] By combining the transmission line distribution model, timing offset prediction is performed on the patterned drive waveform data to generate drive waveform data with pre-compensated pulse markers;

[0012] Differential encoding compression and channel-specific transmission optimization are performed on the drive waveform data with pre-compensated pulse markers to generate compressed data streams and channel identifiers;

[0013] The compressed data stream is transmitted to the display control chip according to the channel identifier to perform waveform reconstruction and signal output.

[0014] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the distributed parameter parsing includes: dividing the high-resolution pixel matrix into N×M spatial blocks, and allocating each block to an independent GPU computing node to extract parasitic parameters;

[0015] Based on the parasitic parameters of the spatial blocks, a multidimensional feature vector containing position encoding is generated to construct a parasitic effect coupling model across blocks;

[0016] The parasitic effect coupling model is stored in a dynamic memory pool, and a block-based parasitic parameter mapping table and a pixel unit feature vector matrix are output.

[0017] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the dynamic grayscale segmentation control includes: generating negative pre-pulse sequence parameters and writing them into the waveform register during the charge reset period based on the parasitic parameters in the block parasitic parameter mapping table and the real-time monitored residual charge data;

[0018] During the gradient establishment phase, the variable slope algorithm library is invoked to generate voltage rising edge waveform segments with curvature parameters;

[0019] By combining the target grayscale value and the curvature parameter, a three-segment waveform original template is generated during the steady-state maintenance period.

[0020] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the nonlinear brightness correction includes: based on the curvature parameter index table in the segmented waveform parameter set, using a piecewise linear interpolation algorithm to map the target brightness value to the driving voltage amplitude, and generating a reference voltage compensation template;

[0021] Based on the refresh rate status and the real-time monitoring data of the light intensity feedback loop, a compensation pulse group is dynamically injected and the pulse width parameter is adjusted.

[0022] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the multi-mode driving strategy switching includes:

[0023] Based on the dynamic feature classification results of the displayed content, a preset low-frequency sustaining waveform parameter library or high-frequency pulse sequence parameter library is invoked;

[0024] During mode switching, the phase boundaries of the old and new waveforms are aligned according to the phase-locked loop phase synchronization parameters.

[0025] In dynamic picture mode, an auxiliary pulse is inserted into the vertical blanking period based on the auxiliary pulse timestamp parameter.

[0026] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the intelligent timing compensation network performs the following operations:

[0027] Based on the transmission line distribution model and historical frame timing error records, timing offset prediction data is generated through a lightweight prediction model.

[0028] Based on the time offset prediction data, a reverse phase pulse is pre-inserted into the patterned drive waveform data, and its position is dynamically calculated based on the transmission line RC distribution parameters.

[0029] The grayscale transition event is detected, and the brightness abrupt overshoot is suppressed based on the correction pulse on the injection position parameter.

[0030] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the data compression and transmission optimization includes: extracting the parameter difference values ​​of adjacent rows based on the driving waveform data with pre-compensated pulse markers, constructing a Huffman coding dictionary and performing differential compression;

[0031] The compressed basic waveform parameters and dynamic compensation data are allocated to the independent physical channels for layered transmission.

[0032] The waveform data is reconstructed based on the spatial coordinate mapping relationship at the display control chip end, and the timing calibration parameters are injected.

[0033] Furthermore, the high-resolution organic display driving waveform generation method of the present invention also includes a feedback loop coordination step: collecting actual luminous intensity data through a photoelectric sensor and feeding it back to the nonlinear brightness correction module to generate amplitude closed-loop correction parameters;

[0034] The current frame signal transmission delay is fed back to the intelligent timing compensation network to optimize the weight coefficients of the lightweight prediction model.

[0035] The switching threshold of the multi-mode strategy is dynamically adjusted based on energy efficiency ratio monitoring data.

[0036] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the display control chip performs the following operations:

[0037] Receive the compressed data stream and parse the channel allocation identifier;

[0038] The basic waveform parameters and dynamic compensation data are received synchronously through a double buffering mechanism.

[0039] Based on the timing calibration parameters and spatial coordinate mapping relationship, the waveform data is reconstructed, and a high-fidelity driving signal is output to the pixel array.

[0040] Furthermore, the high-resolution organic display driving waveform generation method of the present invention also includes a cross-module collaborative mechanism: exchanging the pixel unit feature vectors and compensation coefficients through a standardized interface in a dynamic memory pool;

[0041] The timing synchronization flag signal triggers a phase synchronization operation to eliminate timing gaps during mode switching.

[0042] The curvature parameters in the curvature parameter index table are inherited between the gradient establishment period and the steady-state maintenance period.

[0043] Beneficial effects of this invention;

[0044] This invention reduces the computational complexity of high-dimensional pixel matrices through distributed parameter analysis and dynamic grayscale segmentation control. It utilizes GPU nodes to extract block-based parasitic parameters in parallel and constructs a cross-block coupling model, effectively suppressing parasitic interference and improving grayscale compensation efficiency. Based on a closed-loop control mechanism of nonlinear brightness correction and light intensity feedback loop, it dynamically adjusts the driving voltage amplitude and compensation pulse parameters. Combined with an intelligent timing compensation network that pre-inserts reverse phase pulses and correction pulse pairs, it eliminates timing offsets and brightness abrupt overshoots in the transmission path, enhancing signal fidelity. Through adaptive switching of multi-mode driving strategies and a layered compression transmission protocol, it optimizes the smoothness of dynamic image refresh while reducing bus transmission load, achieving synergistic optimization of grayscale accuracy, refresh rate, and energy efficiency in high-resolution organic displays. Attached Figure Description

[0045] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on the drawings without creative effort.

[0046] Figure 1 A flowchart of a high-resolution organic display driving waveform generation method provided in an embodiment of the present invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention. The technical solutions provided by various embodiments of this invention will be described in detail below with reference to the accompanying drawings. To better understand the objectives of this invention, it will be described in further detail below.

[0048] Please see Figure 1 The high-resolution organic display driving waveform generation method provided by the present invention includes:

[0049] Step S101: Receive the distribution parameters of the original pixel matrix, and generate a block-based parasitic parameter mapping table and pixel unit feature vector matrix containing the parasitic effect coupling model through distributed parameter parsing.

[0050] Step S102: Based on the block parasitic parameter mapping table and the real-time monitored residual charge data, a segmented waveform parameter set containing a curvature parameter index table is generated through dynamic grayscale segmentation control.

[0051] Step S103: According to the segmented waveform parameter set, call the preset brightness and voltage response data to perform nonlinear brightness correction, and generate a driving waveform template and a compensation pulse parameter mapping table based on the light intensity feedback loop.

[0052] Step S104: Based on the dynamic feature classification result of the displayed content, trigger the driving strategy switch and generate patterned driving waveform data containing phase-locked loop phase synchronization parameters;

[0053] Step S105: Combine the transmission line distribution model to perform timing offset prediction on the patterned drive waveform data to generate drive waveform data with pre-compensated pulse markers;

[0054] Step S106: Perform differential encoding compression and channel-specific transmission optimization on the drive waveform data with pre-compensated pulse markers to generate compressed data streams and channel identifiers;

[0055] Step S107: The compressed data stream is transmitted to the display control chip according to the channel identifier to perform waveform reconstruction and signal output.

[0056] The high-resolution organic display driving waveform generation method first receives the distribution parameters of the original pixel matrix. Then, through distributed parameter parsing, it generates a block-based parasitic parameter mapping table containing a parasitic effect coupling model and a pixel unit feature vector matrix. During distributed parameter parsing, the high-resolution pixel matrix is ​​divided into N×M spatial blocks, each allocated to an independent GPU computing node. Parasitic parameters of the pixel units are extracted through a hardware abstraction layer. Multidimensional feature vectors are generated based on spatial location encoding, a cross-block parasitic effect coupling model is constructed, and this model is stored in a dynamic memory pool. Finally, the block-based parasitic parameter mapping table is output, providing a spatial distribution benchmark for subsequent steps.

[0057] Based on a block-based parasitic parameter mapping table and real-time monitoring of residual charge data, a segmented waveform parameter set containing a curvature parameter index table is generated through dynamic grayscale segmentation control. Dynamic grayscale segmentation control specifically includes three stages: a charge reset period, a gradient establishment period, and a steady-state maintenance period. During the charge reset period, a negative pre-pulse sequence parameter is generated to eliminate residual charge. During the gradient establishment period, a variable slope algorithm library is called to generate voltage rising edge waveform segments with curvature parameters, optimizing edge steepness. During the steady-state maintenance period, a three-segment waveform original template is generated by combining the target grayscale value, balancing grayscale accuracy and refresh rate requirements.

[0058] Based on the segmented waveform parameter set, preset brightness and voltage response data are invoked to perform nonlinear brightness correction, generating a driving waveform template and a compensation pulse parameter mapping table based on the light intensity feedback loop. The nonlinear brightness correction maps the target brightness value to the driving voltage amplitude through a piecewise linear interpolation algorithm, generating a reference voltage compensation template. At the same time, compensation pulse groups are dynamically injected according to the refresh rate status, and the pulse width parameter is adjusted through real-time light intensity data collected by the photoelectric sensor, forming a closed-loop brightness control mechanism.

[0059] Based on the classification results of dynamic features of the displayed content, the driving strategy is switched, generating patterned driving waveform data containing phase-locked loop (PLL) phase synchronization parameters. The display content feature analysis module calls either a low-frequency sustaining waveform parameter library or a high-frequency pulse sequence parameter library based on the classification results of the screen's dynamic characteristics. During mode switching, the PLL control signal aligns the phase boundaries of the old and new waveforms to avoid timing gaps. In dynamic screen mode, an auxiliary pulse timestamp parameter is inserted into the vertical blanking period to improve the smoothness of dynamic screen refresh.

[0060] Timing offset prediction is performed on patterned drive waveform data using a transmission line distribution model, generating drive waveform data with pre-compensated pulse markers. The timing offset prediction is based on a lightweight prediction model constructed from historical frame timing error records and transmission line RC distribution parameters. Reverse-phase pulses are pre-inserted into the waveform template to dynamically compensate for parasitic effects in the signal transmission path. Simultaneously, grayscale transition events are detected, and correction pulse pairs are injected before and after the transition points to suppress overshoot caused by sudden brightness changes.

[0061] Differential coding compression and channel-specific transmission optimization are performed on the drive waveform data with pre-compensated pulse markers to generate compressed data streams and channel identifiers. A Huffman coding dictionary is constructed by extracting the difference values ​​of drive parameters from adjacent rows, and differential compression is performed on the basic waveform parameters to reduce data redundancy. The compressed data is transmitted in layers according to low-frequency components and high-frequency dynamic compensation data, allocated to independent physical channels to avoid bus congestion.

[0062] The compressed data stream is transmitted to the display control chip based on the channel identifier for waveform reconstruction and signal output. The display control chip synchronously receives basic waveform parameters and dynamic compensation data through a double-buffering mechanism, reconstructs the complete waveform data based on spatial coordinate mapping, and injects timing calibration parameters. The resulting high-fidelity drive signal is then output to the pixel array, enabling precise grayscale control and dynamic image optimization for high-resolution displays.

[0063] Specifically, the high-resolution organic display driving waveform generation method of the present invention includes the following distributed parameter parsing: dividing the high-resolution pixel matrix into N×M spatial blocks, and allocating each block to an independent GPU computing node to extract parasitic parameters;

[0064] Based on the parasitic parameters of the spatial blocks, a multidimensional feature vector containing position encoding is generated to construct a parasitic effect coupling model across blocks;

[0065] The parasitic effect coupling model is stored in a dynamic memory pool, and a block-based parasitic parameter mapping table and a pixel unit feature vector matrix are output.

[0066] Distributed parameter parsing first divides the high-resolution pixel matrix into N×M spatial blocks, with each block assigned to an independent GPU computing node for parasitic parameter extraction. The spatial block division is based on the physical layout characteristics of the pixel array, and the boundary coordinates of each block are determined through rasterized coordinate mapping. After loading the pixel distribution parameters for the corresponding block, each GPU computing node calls the hardware abstraction layer interface to access the parasitic capacitance and resistance parameters of the pixel units, generating an initial parasitic parameter dataset. The parameter extraction operations are performed in parallel across nodes, reducing the overall processing latency of the high-resolution pixel matrix.

[0067] When generating multidimensional feature vectors containing location codes based on parasitic parameters of spatial blocks, each GPU node normalizes the extracted parasitic parameters and generates spatial location codes by combining the row and column coordinates of the block in the pixel matrix. The normalized parasitic parameters and location codes are then concatenated as tensors to form feature vectors representing the relationship between the electrical properties and spatial location of a single block. All feature vectors from all blocks are transmitted to the central processing unit via cross-node communication. A graph convolutional neural network is used to construct a cross-block parasitic effect coupling model. This model quantifies the mutual interference intensity of parasitic parameters between blocks by analyzing the correlation weights between the feature vectors of adjacent blocks.

[0068] The constructed parasitic effect coupling model is stored in a dynamic memory pool. The memory pool employs a double-buffering mechanism to manage model data. The front-end buffer receives the coupled model data updated in real time, while the back-end buffer provides a static, block-based parasitic parameter mapping table to subsequent processing modules. During storage, the model data undergoes spatial coordinate remapping, converting cross-block coupling relationships into equivalent parasitic parameter correction values ​​for pixel units within each block. The output includes a mapping table containing the corrected parasitic parameters and a pixel unit feature vector matrix, providing spatial distribution benchmark data for dynamic grayscale adjustment.

[0069] Specifically, the high-resolution organic display driving waveform generation method of the present invention includes the following dynamic grayscale segmentation control: generating negative pre-pulse sequence parameters and writing them into the waveform register during the charge reset period based on the parasitic parameters in the block parasitic parameter mapping table and the real-time monitored residual charge data.

[0070] During the gradient establishment phase, the variable slope algorithm library is invoked to generate voltage rising edge waveform segments with curvature parameters;

[0071] By combining the target grayscale value and the curvature parameter, a three-segment waveform original template is generated during the steady-state maintenance period.

[0072] Dynamic grayscale segmented control is based on parasitic parameters in a block-based parasitic parameter mapping table and real-time monitoring of residual charge data. During the charge reset period, negative pre-pulse sequence parameters are generated and written to the waveform register. During the charge reset period, the amplitude and pulse width combination parameters of the negative pre-pulse are determined by reading the residual charge monitoring data. The amplitude parameter is dynamically adjusted based on the equivalent capacitance value of the pixel unit within the block, and the pulse width parameter is calculated based on the charge release time constant. The generated negative pre-pulse sequence parameters are written to the waveform register in batches via the bus interface, covering the potential drift caused by residual charge in the previous frame, and providing a charge reset reference for the gradient establishment period.

[0073] When generating voltage rising edge waveform segments with curvature parameters using a variable slope algorithm library during the gradient establishment phase, a voltage slope curve matching the current pixel material response characteristics is selected from the algorithm library based on the parasitic resistance parameters in the block-based parasitic parameter mapping table. The nonlinear rate of change of the voltage rising edge is adjusted by the curvature parameter, which is dynamically corrected according to the parasitic coupling strength of adjacent blocks. This ensures that the voltage gradient change matches the nonlinear impedance characteristics of the organic light-emitting material, suppressing edge oscillations during the gradient establishment phase.

[0074] In the process of generating a three-segment waveform template by combining the target grayscale value and the curvature parameter, the steady-state maintenance period is based on the driving voltage reference corresponding to the target grayscale value, and the voltage rising edge waveform segment of the gradient establishment period is time-domain spliced ​​with the steady-state maintenance voltage. The curvature parameter is used to smoothly transition the voltage connection segment between the gradient establishment period and the steady-state maintenance period, generating a three-segment waveform template containing a reset period negative pulse, a gradient rising edge, and a steady-state plateau. The template parameters are spatially correlated through a curvature parameter index table, providing a segmented adjustment reference for subsequent nonlinear brightness correction.

[0075] Specifically, the high-resolution organic display driving waveform generation method of the present invention includes the nonlinear brightness correction comprising: based on the curvature parameter index table in the segmented waveform parameter set, using a piecewise linear interpolation algorithm to map the target brightness value to the driving voltage amplitude, and generating a reference voltage compensation template.

[0076] Based on the refresh rate status and the real-time monitoring data of the light intensity feedback loop, a compensation pulse group is dynamically injected and the pulse width parameter is adjusted.

[0077] Nonlinear brightness correction is based on a curvature parameter index table in a segmented waveform parameter set. A piecewise linear interpolation algorithm maps the target brightness value to the driving voltage amplitude, generating a reference voltage compensation template. The curvature parameter index table is associated with the nonlinear characteristics of the rising edge of the voltage gradient. By indexing the curvature parameter value of the current pixel block, linear interpolation is performed within the segmented intervals of the brightness-voltage response curve. During interpolation, the compensation coefficient is dynamically adjusted based on the voltage slope change between adjacent brightness intervals, generating a reference template that includes voltage amplitude compensation, thus eliminating grayscale deviations caused by the nonlinear response of organic materials.

[0078] When dynamically injecting compensation pulse groups based on the refresh rate status and real-time monitoring data from the light intensity feedback loop, in high-frequency refresh mode, a densely distributed narrow-pulse-width compensation pulse sequence is generated based on a pulse density modulation algorithm, while in low-frequency mode, a wide-pulse-width pulse group is used to cover a long time domain. The light intensity feedback loop collects actual luminous intensity data through photoelectric sensors integrated at the edge of the pixel array, calculates the difference between the target brightness and the measured brightness, and generates a pulse width adjustment coefficient. This coefficient is written to the pulse generator control register through a bus interface to correct the duty cycle parameter of the compensation pulse in real time, forming a closed-loop brightness control mechanism.

[0079] Specifically, the high-resolution organic display driving waveform generation method of the present invention includes the following multi-mode driving strategy switching:

[0080] Based on the dynamic feature classification results of the displayed content, a preset low-frequency sustaining waveform parameter library or high-frequency pulse sequence parameter library is invoked;

[0081] During mode switching, the phase boundaries of the old and new waveforms are aligned according to the phase-locked loop phase synchronization parameters.

[0082] In dynamic picture mode, an auxiliary pulse is inserted into the vertical blanking period based on the auxiliary pulse timestamp parameter.

[0083] The multi-mode drive strategy switching is based on the dynamic feature classification results of the displayed content, calling a preset low-frequency sustaining waveform parameter library or a high-frequency pulse sequence parameter library. The displayed content feature classification module identifies static and dynamic image features by analyzing the grayscale change rate of the pixel matrix in consecutive frames. When the grayscale change rate exceeds a preset threshold, a high-frequency pulse sequence parameter call instruction is triggered. The low-frequency sustaining waveform parameter library stores low-power sustaining voltage parameters suitable for static images, while the high-frequency pulse sequence parameter library contains short-pulse-width, high-density pulse groups required for dynamic image refresh. Parameter calls are loaded from non-volatile memory to the waveform register group via a bus protocol.

[0084] During mode switching, the phase boundaries of the old and new waveforms are aligned according to the phase synchronization parameters of the phase-locked loop (PLL). These PLL phase synchronization parameters are generated by the clock management module and include the deviation between the current waveform phase angle and the target phase angle. After the mode switching command is triggered, the phase synchronization controller reads the deviation and generates a phase compensation voltage, which drives the voltage-controlled oscillator (VCO) to adjust the frequency of the output clock signal, ensuring that the old and new waveforms are phase aligned within the vertical blanking period, thus eliminating the timing discontinuity caused by mode switching.

[0085] In dynamic image mode, an auxiliary pulse is inserted into the vertical blanking period based on an auxiliary pulse timestamp parameter. This timestamp parameter is dynamically generated based on the brightness compensation amount of the previous frame and the target grayscale value of the current frame. The vertical blanking period detection module identifies the inactive period of the display scan cycle. The auxiliary pulse generator inserts a compensation pulse of preset amplitude at the beginning of the blanking period according to the timestamp parameter. The pulse width is adjusted according to the real-time monitoring data of the light intensity feedback loop to compensate for the charge injection delay during dynamic image refresh and improve the consistency of dynamic response.

[0086] Specifically, in the high-resolution organic display driving waveform generation method of the present invention, the intelligent timing compensation network performs the following operations:

[0087] Based on the transmission line distribution model and historical frame timing error records, timing offset prediction data is generated through a lightweight prediction model.

[0088] Based on the time offset prediction data, a reverse phase pulse is pre-inserted into the patterned drive waveform data, and its position is dynamically calculated based on the transmission line RC distribution parameters.

[0089] The grayscale transition event is detected, and the brightness abrupt overshoot is suppressed based on the correction pulse on the injection position parameter.

[0090] The intelligent timing compensation network, based on a transmission line distribution model and historical frame timing error records, generates timing offset prediction data through a lightweight prediction model. The transmission line distribution model integrates parasitic resistance and capacitance parameters of each signal path on the display panel to construct a transmission delay feature matrix. Historical frame timing error records are used to extract timing offset statistical features from the last N frames using a sliding window algorithm. The lightweight prediction model employs a pruned neural network architecture. After inputting the delay feature matrix and statistical features, it outputs the predicted timing offset value for each pixel block in the next refresh cycle, forming a timing offset prediction dataset.

[0091] When pre-inserting a reverse phase pulse into the patterned drive waveform data based on the timing offset prediction data, the pulse insertion position is dynamically calculated based on the transmission line RC distributed parameters. The transmission line RC distributed parameters include the equivalent resistance and coupling capacitance values ​​of the signal path, and the propagation delay constant of each path is calculated by multiplying the resistance and capacitance. The insertion position of the reverse phase pulse is determined by the product of the delay constant and the timing offset prediction value. The pulse amplitude is linearly adjusted with the predicted offset. A reverse compensation pulse is injected at the leading position of the rising or falling edge of the waveform template to counteract the timing deviation caused by parasitic effects of the transmission path.

[0092] In the process of detecting grayscale jump events and suppressing brightness abrupt overshoot based on the injection position parameters of the correction pulse pair, the grayscale jump detection module identifies abrupt change regions by comparing the difference in grayscale values ​​between adjacent frame pixels. The correction pulse pair consists of a positive pre-emphasis pulse and a negative damping pulse. The positive pulse is injected at the beginning of the grayscale jump to accelerate voltage ramp-up, and the negative pulse is injected at the end of the jump to suppress overshoot oscillation. The width parameter of the pulse pair is dynamically adjusted according to the jump amplitude gradient, forming an overshoot suppression mechanism that adapts to the brightness change rate.

[0093] Specifically, the high-resolution organic display driving waveform generation method of the present invention includes the following data compression and transmission optimization: extracting the parameter difference values ​​of adjacent rows based on the driving waveform data with pre-compensated pulse markers, constructing a Huffman coding dictionary and performing differential compression;

[0094] The compressed basic waveform parameters and dynamic compensation data are allocated to the independent physical channels for layered transmission.

[0095] The waveform data is reconstructed based on the spatial coordinate mapping relationship at the display control chip end, and the timing calibration parameters are injected.

[0096] Data compression and transmission optimization is based on extracting parameter difference values ​​from adjacent rows of drive waveform data with pre-compensated pulse markers, constructing a Huffman coding dictionary, and performing differential compression. The parameter difference values ​​from adjacent rows are generated by comparing the voltage amplitude, pulse width, and curvature parameters of the drive waveform row by row. The difference value calculation module identifies valid data segments based on the pre-compensated pulse markers and eliminates interference in the compensation pulse region. The Huffman coding dictionary is dynamically generated based on the statistical distribution characteristics of the difference values, assigning short codewords to high-frequency difference values ​​and long codewords to low-frequency difference values. Entropy coding is used to reduce data redundancy, generating a compressed differentially coded data stream.

[0097] When the compressed basic waveform parameters and dynamic compensation data are allocated to independent physical channels for hierarchical transmission, the basic waveform parameters, including the low-frequency sustaining voltage and steady-state platform parameters, are allocated to high-priority physical channels for real-time transmission. The dynamic compensation data, including pre-compensation pulse parameters and correction pulse pair information, are allocated to low-latency physical channels for transmission. Channel allocation identifiers are embedded in the data packet header, identifying the data type and transmission priority of different channels. A bus arbitrator coordinates the data transmission timing between channels to avoid bus congestion.

[0098] When reconstructing waveform data based on spatial coordinate mapping at the display control chip, the decoding module separates the basic waveform parameters and dynamic compensation data according to the channel identifier, and restores the differential coded data into complete driving waveform parameters through the spatial coordinate mapping table. Timing calibration parameters are injected during the reconstruction process. These parameters include the position of the reverse phase pulse and the width of the correction pulse pair. The timing controller aligns the calibration parameters with the reconstructed waveform data in the time domain, generating a high-fidelity driving signal that matches the pixel spatial coordinates, which is then output to the organic light-emitting pixel array for grayscale control.

[0099] Specifically, the high-resolution organic display driving waveform generation method of the present invention further includes a feedback loop coordination step: collecting actual luminous intensity data through a photoelectric sensor and feeding it back to the nonlinear brightness correction module to generate amplitude closed-loop correction parameters;

[0100] The current frame signal transmission delay is fed back to the intelligent timing compensation network to optimize the weight coefficients of the lightweight prediction model.

[0101] The switching threshold of the multi-mode strategy is dynamically adjusted based on energy efficiency ratio monitoring data.

[0102] The feedback loop coordination step collects actual luminous intensity data from a photoelectric sensor and feeds it back to the nonlinear brightness correction module to generate amplitude closed-loop correction parameters. The photoelectric sensor is integrated into the edge region of the pixel array. After collecting actual luminous intensity data from each block, it transmits the data to the correction module via the SPI bus. The amplitude closed-loop correction parameters are generated based on the difference between the target brightness value and the measured brightness. A proportional-integral algorithm is used to calculate the compensation amount of the driving voltage amplitude, updating the amplitude parameters of the reference voltage compensation template, thus forming a closed-loop adjustment mechanism for brightness control.

[0103] When feeding back the signal transmission delay of the current frame to the weight coefficients of the lightweight prediction model using the intelligent timing compensation network, the timing monitoring unit measures the actual delay of the signal transmission path through a time-to-digital converter and compares it with the predicted offset to generate an error matrix. The error matrix updates the convolution kernel weight parameters of the lightweight prediction model using the backpropagation algorithm. A sliding window algorithm is used to retain nearly M frames of error data as a training set, enabling online adaptive optimization of the prediction model and improving the accuracy of timing offset prediction.

[0104] During the process of dynamically adjusting the multi-mode strategy switching threshold based on energy efficiency ratio monitoring data, the power consumption monitoring module collects current consumption data and refresh rate parameters for each driving mode, and calculates the power efficiency ratio per unit refresh rate. The energy efficiency ratio data is mapped to the strategy switching threshold correction coefficient through a lookup table, dynamically adjusting the switching trigger conditions between high-frequency and low-frequency modes. When the energy efficiency ratio is lower than the preset threshold, the high-frequency mode trigger threshold is increased, and the duration of the low-frequency sustain waveform is extended, achieving a dynamic balance optimization between display quality and power consumption.

[0105] Specifically, in the high-resolution organic display driving waveform generation method of the present invention, the display control chip performs the following operations:

[0106] Receive the compressed data stream and parse the channel allocation identifier;

[0107] The basic waveform parameters and dynamic compensation data are received synchronously through a double buffering mechanism.

[0108] Based on the timing calibration parameters and spatial coordinate mapping relationship, the waveform data is reconstructed, and a high-fidelity driving signal is output to the pixel array.

[0109] When the display control chip receives compressed data streams and parses channel allocation identifiers, it captures compressed data packets through a high-speed serial interface. The identifier is embedded in the control field of the data packet header. The parsing module separates basic waveform parameters and dynamic compensation data based on the channel encoding information in the identifier. The basic waveform parameters include low-frequency sustaining voltage and steady-state platform parameters, while the dynamic compensation data includes pre-compensation pulse position and correction pulse pair width information. The data distribution unit routes the two types of data to different buffer areas.

[0110] When simultaneously receiving basic waveform parameters and dynamic compensation data via a dual-buffering mechanism, the front-end buffer receives the compressed data of the current frame and performs Huffman decoding, while the back-end buffer transmits the decoded data of the previous frame to the reassembly module. Buffer switching is triggered by the vertical synchronization signal, and the data transfer operation is completed within the blanking period. Basic waveform parameters are written to the first buffer block, and dynamic compensation data is written to the second buffer block. The independent addressing spaces of the dual buffers avoid data access conflicts and maintain high-throughput data transmission.

[0111] When reconstructing waveform data based on timing calibration parameters and spatial coordinate mapping, the spatial coordinate mapping table stores the correspondence between the row and column addresses of the pixel matrix and the physical driving channels. The reconstruction module reorders the decoded waveform parameters according to the spatial coordinates based on the mapping table. The timing calibration parameters include the insertion position of the reverse phase pulse and the timing offset of the correction pulse pair. The timing controller aligns the calibration parameters with the reconstructed waveform data. The final high-fidelity driving signal, after being adjusted by a level conversion circuit, is output to the driving electrodes of the organic light-emitting pixel array, achieving precise control of voltage amplitude and timing characteristics.

[0112] Specifically, the high-resolution organic display driving waveform generation method of the present invention also includes a cross-module collaborative mechanism: exchanging the pixel unit feature vector and compensation coefficient through a standardized interface in a dynamic memory pool;

[0113] The timing synchronization flag signal triggers a phase synchronization operation to eliminate timing gaps during mode switching.

[0114] The curvature parameters in the curvature parameter index table are inherited between the gradient establishment period and the steady-state maintenance period.

[0115] In the cross-module collaboration mechanism, when exchanging pixel unit feature vectors and compensation coefficients through a standardized interface in the dynamic memory pool, the standardized interface defines the data format and transmission protocol. The feature vector contains the parasitic parameters and spatial coding information of the pixel unit, and the compensation coefficient stores brightness correction and timing compensation parameters. The dynamic memory pool adopts a double-buffering management mechanism. The front-end buffer receives feature vector data from the distributed parameter parsing module, and the back-end buffer provides compensation coefficients to the nonlinear brightness correction module. The interface controller performs read and write operations based on the data tags, realizing efficient data flow between modules.

[0116] When phase synchronization is triggered by a timing synchronization flag signal, the flag signal is generated by the multi-mode drive strategy switching module after the mode switching command is issued. The phase synchronization operation calls the frequency fine-tuning function of the phase-locked loop controller, reads the deviation between the current waveform phase angle and the target phase angle, adjusts the clock signal frequency through the voltage-controlled oscillator, and completes the phase alignment of the old and new waveforms within the vertical blanking period, eliminating the timing discontinuity caused by the drive mode switching and maintaining the time continuity of the refresh cycle.

[0117] When inheriting curvature parameters from the curvature parameter index table between the gradient establishment period and the steady-state maintenance period, after the voltage rising edge waveform segment is generated during the gradient establishment period, the curvature parameter value of the current pixel block is retrieved from the curvature parameter index table. During the steady-state maintenance period, this curvature parameter is obtained through the parameter inheritance interface and applied to the slope calculation of the transition segment of the steady-state voltage platform, smoothly connecting the voltage change curves between the gradient establishment period and the maintenance period. The parameter inheritance process is based on spatial coordinate mapping relationships to ensure the continuity of curvature parameters between adjacent blocks and suppress edge oscillations caused by voltage jumps.

[0118] This invention specifically implements a hierarchical data processing architecture to optimize the generation of high-resolution organic display driving waveforms. First, it receives the original pixel matrix distribution parameters and uses distributed parameter parsing to divide the pixel array into N×M spatial blocks. Each block is assigned to an independent GPU node to extract parasitic capacitance and resistance parameters. A multi-dimensional feature vector containing spatial location encoding is generated through a hardware abstraction layer. A cross-block parasitic effect coupling model is constructed and stored in a dynamic memory pool, outputting a block-based parasitic parameter mapping table, thus solving the computational bottleneck of traditional serial architectures in processing high-dimensional data. Based on real-time monitoring of residual charge data, during the charge reset period, a negative pre-pulse sequence parameter with amplitude adjusted according to the equivalent capacitance is generated and written to the waveform register to eliminate residual charge. During the gradient establishment period, a variable slope algorithm library is called to generate voltage rising edge segments with curvature parameters. The curvature parameters are dynamically corrected according to the coupling strength of adjacent blocks to suppress edge oscillations. During the steady-state maintenance period, a three-segment waveform template is generated based on the target grayscale value. Spatial coordinate association is achieved through a curvature parameter index table, balancing grayscale accuracy and refresh rate requirements. When performing nonlinear brightness correction by calling preset brightness-voltage response data, linear interpolation is performed within segmented intervals based on the curvature parameter index table to generate a reference voltage compensation template and dynamically inject compensation pulse groups. The pulse width is adjusted in real time by the measured brightness difference of the light intensity feedback loop, forming a closed-loop brightness control mechanism. The display content feature analysis module triggers the switching of the drive strategy based on the grayscale change rate of continuous frames. For static images, a low-frequency sustaining waveform parameter library is called to reduce power consumption, while for dynamic images, a high-frequency pulse sequence parameter library is loaded. During mode switching, the phase boundary of the new and old waveforms is aligned through the phase synchronization parameter of the phase-locked loop. An auxiliary pulse controlled by the timestamp parameter is inserted during the vertical blanking period to eliminate timing discontinuities. The intelligent timing compensation network integrates the RC distribution parameters of the transmission line and historical frame error records, generates timing offset data through a lightweight prediction model, and pre-inserts dynamically calculated reverse phase pulses in the waveform to suppress parasitic effects on the transmission path. The grayscale jump detection module injects correction pulse pairs after identifying abrupt change regions. Positive pulses accelerate voltage ramp-up, while negative pulses suppress overshoot oscillations. In the compressed transmission stage, the parameter differences between adjacent rows are extracted to construct a Huffman coding dictionary. Basic waveform parameters and dynamic compensation data are layered, compressed, and transmitted channel by channel. The display control chip parses the data based on channel identifiers, synchronously receives the data through a double-buffering mechanism, and reconstructs the waveform based on a spatial coordinate mapping table. After injecting timing calibration parameters, a high-fidelity drive signal is output. In the feedback loop, a photoelectric sensor collects actual light intensity data to optimize brightness correction parameters, timing error data trains the prediction model weights, and energy efficiency ratio monitoring dynamically adjusts the mode switching threshold, achieving coordinated optimization of display quality and power consumption.

[0119] The technical features of this invention are explained below:

[0120] Distributed parameter parsing;

[0121] Technical features: The high-resolution pixel matrix is ​​divided into N×M spatial blocks, and each block is assigned to an independent GPU computing node to extract parasitic parameters.

[0122] Explanation: By spatially partitioning, the computational complexity of high-dimensional data is reduced. The parallel computing capabilities of GPUs are used to accelerate the extraction of parasitic parameters (such as parasitic capacitance and resistance), generating multi-dimensional feature vectors containing positional encoding. A parasitic effect coupling model across blocks is constructed, and the electrical interference relationship between blocks is quantified, providing a spatial distribution benchmark for dynamic grayscale control.

[0123] Dynamic grayscale segmentation control;

[0124] Technical features: During the charge reset period, negative pre-pulse sequence parameters are generated; during the gradient establishment period, the variable slope algorithm library is called to generate curvature voltage waveform; and during the steady-state maintenance period, a three-segment waveform template is generated.

[0125] explain:

[0126] Charge reset period: Residual charge is eliminated by a negative pre-pulse, the amplitude of which is dynamically adjusted based on the pixel equivalent capacitance, and the pulse width is calculated by the charge release time constant.

[0127] Gradient establishment period: The variable slope algorithm library is used to generate voltage rising edges with curvature parameters. The curvature parameters are dynamically corrected according to the parasitic coupling strength of adjacent blocks to suppress edge oscillations.

[0128] Steady-state maintenance period: Combine the target grayscale value to generate a three-segment waveform original template (reset pulse, gradient rising edge, steady-state plateau) to balance refresh rate and grayscale accuracy.

[0129] Nonlinear brightness correction;

[0130] Technical features: Piecewise linear interpolation is performed based on the curvature parameter index table, and compensation pulse groups are dynamically injected.

[0131] explain:

[0132] Piecewise linear interpolation: Mapping the target brightness value to the driving voltage amplitude within the piecewise intervals of the brightness-voltage response curve to compensate for the nonlinear response of organic materials.

[0133] Light intensity feedback loop: The actual light intensity data is collected by a photoelectric sensor, and the compensation pulse width parameter is adjusted in real time to form a closed-loop brightness control.

[0134] Multi-mode drive strategy switching;

[0135] Technical features: calls low-frequency / high-frequency waveform parameter library, phase-locked loop phase synchronization, and auxiliary pulses are inserted during the vertical blanking period.

[0136] explain:

[0137] Low-frequency sustaining waveform parameter library: Low-power sustaining voltage parameters suitable for static images.

[0138] High-frequency pulse sequence parameter library: High-density short-pulse-width pulse groups required for dynamic image refresh.

[0139] Phase-locked loop (PLL) phase synchronization: By adjusting the clock frequency, the phase boundaries of the old and new waveforms are aligned, eliminating timing gaps during mode switching.

[0140] Auxiliary pulse timestamp: Insert a compensation pulse during the vertical blanking period to improve the smoothness of dynamic image refresh.

[0141] Intelligent timing compensation network;

[0142] Technical features: Lightweight prediction model generates time-series offset data, pre-inserts reverse phase pulses, and corrects pulse pairs to suppress overshoot.

[0143] explain:

[0144] Lightweight prediction model: Predicting timing offset based on transmission line RC distribution parameters and historical frame error data.

[0145] Reverse phase pulse: A compensation pulse that is dynamically calculated and pre-inserted into the waveform to counteract parasitic effects on the transmission path.

[0146] The correction pulse pair consists of a positive pre-emphasis pulse (accelerating voltage rise) and a negative damping pulse (suppressing overshoot), which adapts to the brightness jump gradient.

[0147] Data compression and transmission optimization;

[0148] Technical features: Huffman differential coding, layered transport protocol, channel identifier.

[0149] explain:

[0150] Huffman coding dictionary: dynamically generated based on the statistical distribution of parameter differences between adjacent rows, reducing data redundancy.

[0151] Layered transmission: Low-frequency basic waveform parameters and high-frequency dynamic compensation data are allocated to independent physical channels to avoid bus congestion.

[0152] Channel identifier: Embedded in the data packet header, it identifies the data type and transmission priority, and supports the display control chip to efficiently reassemble waveforms.

[0153] Feedback loop coordination;

[0154] Technical features: light intensity closed-loop correction, timing error feedback, and energy efficiency ratio threshold adjustment.

[0155] explain:

[0156] Light intensity closed-loop correction: The driving voltage amplitude parameters are dynamically updated based on the actual brightness data measured by the photoelectric sensor.

[0157] Timing error feedback: Optimize the weights of the prediction model using the actual transmission delay to improve the accuracy of timing compensation.

[0158] Energy efficiency ratio monitoring: Dynamically adjusts the mode switching threshold based on power consumption per unit refresh rate to balance display quality and power consumption.

[0159] Cross-module collaboration mechanism;

[0160] Technical features: standardized interface for data exchange, timing synchronization flags trigger phase alignment, and curvature parameter inheritance.

[0161] explain:

[0162] Standardized interface: Defines data format and transmission protocol to enable efficient transfer of feature vectors and compensation coefficients between modules.

[0163] Timing synchronization flag: Triggers fine-tuning of the phase-locked loop frequency to eliminate timing gaps caused by mode switching.

[0164] Curvature parameter inheritance: The curvature parameter is passed during the gradient establishment period and steady state maintenance to smooth the slope of the voltage transition segment.

[0165] This invention addresses the complexity of synchronizing nonlinear parameters and refresh timing in high-dimensional pixel matrices by constructing a hierarchical data processing architecture and employing distributed parameter parsing and dynamic grayscale segmentation control techniques. Specifically, the high-resolution pixel matrix is ​​divided into N×M spatial blocks. Parasitic parameters are extracted in parallel using independent GPU nodes, and a cross-block coupling model is generated, reducing the computational dimensionality of the traditional serial architecture. Based on the block-based parasitic parameter mapping table and real-time monitored residual charge data, negative pre-pulses, curvature voltage waveforms, and three-segment templates are generated in stages. Spatial block processing reduces the global parameter computation load and avoids the mutual exclusion effect between grayscale compensation accuracy and refresh rate.

[0166] By co-optimizing nonlinear brightness correction and an intelligent timing compensation network, the accumulation of timing synchronization errors is eliminated. A reference voltage compensation template is dynamically generated based on the brightness and voltage response curves, and the compensation pulse parameters are adjusted in real time using a light intensity feedback loop, forming a closed-loop brightness control mechanism. Simultaneously, the intelligent timing compensation network, based on the transmission line distribution model and historical frame timing errors, pre-inserts reverse phase pulses and injects correction pulse pairs to dynamically compensate for parasitic effects in the transmission path and suppress brightness abrupt overshoot. A multi-mode driving strategy adaptively switches the waveform parameter library according to the characteristics of the displayed content, and eliminates timing gaps during mode switching through phase-locked loop phase synchronization, improving signal fidelity and dynamic image smoothness.

[0167] A differential coding compression and multi-channel transmission mechanism is employed to optimize data throughput efficiency, balancing refresh rate and signal integrity at high resolution. A Huffman coding dictionary is constructed by extracting parameter differences between adjacent rows, compressing basic waveform parameters and dynamic compensation data to reduce bus transmission load. A layered transmission protocol allocates low-frequency components and high-frequency compensation data to independent physical channels, avoiding bus congestion. At the display control chip level, waveform data is reconstructed based on spatial coordinate mapping, and high-fidelity drive signals are generated in conjunction with timing calibration parameters, ultimately achieving coordinated optimization of grayscale accuracy, refresh rate, and energy efficiency.

Claims

1. A method for generating driving waveforms for high-resolution organic displays, characterized in that, include: Receive the distribution parameters of the original pixel matrix, and generate a block-based parasitic parameter mapping table and pixel unit feature vector matrix containing the parasitic effect coupling model through distributed parameter parsing; Based on the block-based parasitic parameter mapping table and the real-time monitored residual charge data, a segmented waveform parameter set containing a curvature parameter index table is generated through dynamic gray-scale segmented control. According to the segmented waveform parameter set, the preset brightness and voltage response data are called to perform nonlinear brightness correction, and a driving waveform template and a compensation pulse parameter mapping table based on the light intensity feedback loop are generated. Based on the dynamic feature classification results of the displayed content, the driving strategy is switched, and patterned driving waveform data containing phase-locked loop phase synchronization parameters is generated. By combining the transmission line distribution model, timing offset prediction is performed on the patterned drive waveform data to generate drive waveform data with pre-compensated pulse markers; Differential encoding compression and channel-specific transmission optimization are performed on the drive waveform data with pre-compensated pulse markers to generate compressed data streams and channel identifiers; The compressed data stream is transmitted to the display control chip according to the channel identifier to perform waveform reconstruction and signal output.

2. The high-resolution organic display driving waveform generation method according to claim 1, characterized in that, The distributed parameter parsing includes: The high-resolution pixel matrix is ​​divided into N×M spatial blocks, and each block is assigned to an independent GPU computing node to extract parasitic parameters; Based on the parasitic parameters of the spatial blocks, a multidimensional feature vector containing position encoding is generated to construct a parasitic effect coupling model across blocks; The parasitic effect coupling model is stored in a dynamic memory pool, and a block-based parasitic parameter mapping table and a pixel unit feature vector matrix are output.

3. The high-resolution organic display driving waveform generation method according to claim 2, characterized in that, The dynamic grayscale segmentation control includes: Based on the parasitic parameters in the block parasitic parameter mapping table and the real-time monitored residual charge data, negative pre-pulse sequence parameters are generated and written into the waveform register during the charge reset period. During the gradient establishment phase, the variable slope algorithm library is invoked to generate voltage rising edge waveform segments with curvature parameters; By combining the target grayscale value and the curvature parameter, a three-segment waveform original template is generated during the steady-state maintenance period.

4. The high-resolution organic display driving waveform generation method according to claim 3, characterized in that, The nonlinear brightness correction includes: Based on the curvature parameter index table in the segmented waveform parameter set, a piecewise linear interpolation algorithm is used to map the target brightness value to the driving voltage amplitude, generating a reference voltage compensation template. Based on the refresh rate status and the real-time monitoring data of the light intensity feedback loop, a compensation pulse group is dynamically injected and the pulse width parameter is adjusted.

5. The high-resolution organic display driving waveform generation method according to claim 4, characterized in that, The driving strategy switching includes: Based on the dynamic feature classification results of the displayed content, a preset low-frequency sustaining waveform parameter library or high-frequency pulse sequence parameter library is invoked; During mode switching, the phase boundaries of the old and new waveforms are aligned according to the phase-locked loop phase synchronization parameters. In dynamic picture mode, an auxiliary pulse is inserted into the vertical blanking period based on the auxiliary pulse timestamp parameter.

6. The high-resolution organic display driving waveform generation method according to claim 5, characterized in that, Also includes: Based on the transmission line distribution model and historical frame timing error records, timing offset prediction data is generated through a lightweight prediction model. Based on the time offset prediction data, a reverse phase pulse is pre-inserted into the patterned drive waveform data, and its position is dynamically calculated based on the transmission line RC distribution parameters. The grayscale transition event is detected, and the brightness overshoot is suppressed by adjusting the injection position parameters based on the correction pulse.

7. The high-resolution organic display driving waveform generation method according to claim 6, characterized in that, The differential coding compression and multi-channel transmission optimization include: Based on the driving waveform data with pre-compensated pulse markers, the parameter difference values ​​of adjacent rows are extracted, and a Huffman coding dictionary is constructed to perform differential compression; The compressed basic waveform parameters and dynamic compensation data are allocated to independent physical channels for layered transmission. The waveform data is reconstructed based on the spatial coordinate mapping relationship at the display control chip end, and timing calibration parameters are injected.

8. The high-resolution organic display driving waveform generation method according to claim 7, characterized in that, It also includes feedback loop coordination steps: The actual luminous intensity data is collected by the photoelectric sensor and fed back to the nonlinear brightness correction module to generate amplitude closed-loop correction parameters. The current frame signal transmission delay is fed back to the timing compensation network to optimize the weight coefficients of the lightweight prediction model. The threshold for switching the drive strategy is dynamically adjusted based on energy efficiency ratio monitoring data.

9. The high-resolution organic display driving waveform generation method according to claim 8, characterized in that, The display control chip performs the following operations: Receive the compressed data stream and parse the channel identifier; Basic waveform parameters and dynamic compensation data are received synchronously through a double buffering mechanism; Based on the timing calibration parameters and spatial coordinate mapping relationship, the waveform data is reconstructed and a high-fidelity driving signal is output to the pixel array.

10. The high-resolution organic display driving waveform generation method according to claim 9, characterized in that, It also includes cross-module collaboration mechanisms: The pixel unit feature vectors and compensation coefficients are exchanged through a standardized interface in the dynamic memory pool; Phase synchronization operation is triggered by timing synchronization flag signal to eliminate timing gaps during mode switching; The curvature parameters in the curvature parameter index table are inherited between the gradient establishment period and the steady-state maintenance period.

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