333 results about "Lookup table" patented technology

The application discloses a digital pre-distortion processing method based on a lookup table, comprising: acquiring a first component and a second component of a baseband input to obtain an original digital baseband signal amplitude value according to the first component and the second component; when the original digital baseband signal amplitude value is greater than a first preset threshold, determining a corresponding lookup table index according to the original digital baseband amplitude value to obtain a first component increment and a second component increment for digital pre-distortion compensation; wherein the first component increment and the second component increment are determined through an AM-AM curve and an AM-PM curve, the AM-AM curve is used to determine the amplitude of a power amplifier to be mapped, and the AM-PM curve is used to determine the phase delay of the power amplifier to be mapped. Through the AM-AM curve and the AM-PM curve, the I component increment and the Q component increment can be accurately determined, so that the accuracy of digital pre-distortion compensation is improved. The judgment of the effectiveness of DPD compensation can avoid overflow of the compensated value bit width, thereby improving the compensation accuracy.

This invention discloses a modeling method for a proxy model of a permanent magnet synchronous motor under eccentric conditions. First, a mathematical model of the eccentric motor proxy model is established, including the permanent magnet flux linkage and no-load back EMF, flux linkage model, voltage model, electromagnetic torque, and torque balance equations. Then, no-load back EMF, permanent magnet flux linkage, and dq-axis inductance data are obtained through finite element simulation, and harmonic fitting is performed on the permanent magnet flux linkage. Next, a multi-dimensional parameterized lookup table covering eccentricity type and degree, speed, torque, and rotor position angle is constructed. The lookup table and interpolation algorithm are integrated into the simulation platform to form a high-fidelity proxy model module that can be called in real time. Finally, the model accuracy is verified by comparison with finite element simulation and experimental data. This invention achieves high-precision and rapid mapping of the electromagnetic characteristics of eccentric motors, balancing modeling accuracy, efficiency, and versatility.

This invention discloses a signal transmission path optimization method for an integrated RF terminal chip, relating to the field of RF technology. The invention includes: S100 real-time parameter acquisition, calculation of mismatch loss factor, impedance deviation factor, and interference rise factor; S200 weighted fusion of the three factors to obtain a disabling coefficient, constructing a disabling coefficient curve, performing curve feature analysis to generate a reconstruction index, and comparing it with a threshold to determine whether reconstruction is necessary; S300 when reconstruction is required, querying the target control word of the matching network and filter based on a multi-dimensional lookup table, and performing priority correction based on interference and power occupancy; S400 executing control word writing, verifying the effect, and if it does not meet the standard, performing local search and fine-tuning until performance is restored. This invention achieves adaptive optimization of signal transmission paths in multiple frequency bands and scenarios through a closed-loop dynamic reconstruction process of perception, decision-making, execution, and verification, effectively reducing mismatch loss and interference impact, and improving the overall performance of the RF terminal chip.

This application relates to the field of integrated circuit design technology, and in particular to a hardware-software integrated border texture sampling system. This system implements border texture sampling through a hardware-software integration approach, supports user-defined sampling colors, and pre-stores a target texture lookup table on the software side, providing the hardware side with the target index value for the customized color. The hardware side only needs to perform target offset mapping and target address calculation to directly read the target texture data from the cache based on the target address, eliminating the need for format conversion after obtaining the texture data, thus saving hardware computing resources. Furthermore, the target texture lookup table contains texture data in multiple data formats, so the hardware side does not need to always obtain large-bit-width texture data and then convert it, but can directly obtain the texture data with the required bit width, thereby reducing the memory access bandwidth on the hardware side and improving border texture sampling efficiency.

This invention relates to a cascaded fuzzy feedforward direct-drive speed control method and system based on LC filtering. The method includes: obtaining a speed error and error rate of change from a reference speed and a real-time measured speed; inputting the speed error and error rate of change into a Mamdani fuzzy inference engine to output a power setpoint coefficient; inputting the power setpoint coefficient and a normalized measured speed signal into a two-dimensional torque-current reference lookup table, performing bilinear interpolation calculation, and outputting an electromagnetic torque command; converting the electromagnetic torque command into a quadrature-axis command current, generating a PWM signal through current closed-loop regulation and SVPWM modulation, and driving a two-level voltage-type inverter; the output of the two-level voltage-type inverter drives a low-voltage permanent magnet synchronous motor through an LC sine wave filter with an RC damping branch. Compared with the prior art, this invention has advantages such as low computational load, improved dynamic response, and enhanced disturbance rejection.

The present application relates to a kind of road fog dangerous working condition identification processing method based on multi-sensor fusion, the method includes: step 1, camera, millimeter wave radar and laser radar specificity degradation features under fog environment are extracted in parallel;Step 2, based on the feature real-time evaluation sensor confidence and dynamic weighted fusion, obtain comprehensive visibility estimation V final =η*[W cam *V vis +W rad *φ(C rv )+W lid *ψ(1 / λ)], And dangerous working condition level;Step 3, according to dangerous working condition level, establish the accurate mapping lookup table of grade and vehicle control instruction, according to accurate mapping lookup table, execute the vehicle active safety control strategy corresponding to dangerous working condition level;Step 4, comprehensive visibility estimation and dangerous working condition level are packaged as standard car-road cooperation message, broadcast through vehicle-mounted communication unit, realize the vehicle-vehicle, vehicle-road early warning of over-the-horizon.This technical scheme solves the technical problems such as the present technology fusion level is shallow, information utilization rate is low, output result is rough, lack of adaptive ability etc.

This invention discloses a security chip based on a configurable lookup table. The security chip includes: at least one configurable logic block, each containing at least one configurable lookup table unit; a dynamic mask generator connected to the configurable lookup table unit, dynamically generating a mask sequence according to the current processing clock cycle; a reconfiguration controller connected to the dynamic mask generator, changing the configuration values ​​of the configurable lookup table units in real time according to a security policy; and a security execution engine, whose input is connected to the output of the configurable lookup table unit, performing secure operations based on the masked lookup results; wherein the configurable lookup table unit presents different truth table mappings for the same logic input in at least two different clock cycles. This invention enables the lookup table unit to present different truth table mappings in different clock cycles, breaking the deterministic correlation between power consumption characteristics and data, and effectively resisting side-channel attacks such as differential power analysis.

A system for generating a projection structure using a graphical user interface, wherein the system comprises: a display device configured to display a graphical user interface (GUI); a computing device comprising a memory; and a processor, wherein the memory contains instructions configuring the processor to: receive a plurality of datasets, wherein each dataset comprises a plurality of parameters; generate a first projection structure as a function of the datasets; display the first projection structure through the GUI; receive natural language query data corresponding to the first projection structure using a chatbot interface; generate response data as a function of the query data; map, as a function of a look-up table, each categorization to a database entry index; obtain response data from the database; adjust the parameters as a function of the response data; generate a second projection structure; and display it in the GUI.

This invention relates to a thermal control method for grid-connected converters that balances low harmonics and junction temperature limitations, belonging to the field of intelligent power electronics control. It employs a DPWM modulation method that locks the optimal clamping interval under overload conditions and couples this method with switching frequency control. Offline simulation is used to scan the switching frequency, obtaining data on the peak junction temperature and grid current variations as a function of the switching frequency, which is then stored in a lookup table accessible to the controller. During operation, feasible switching frequency ranges are selected based on junction temperature and dual constraints, and a recommended switching frequency range is provided. Within the acceptable frequency range, the optimal frequency reduction point is selected according to a proposed selection function, thus achieving a dynamic trade-off between thermal safety and system performance during overload. This invention, by fully considering the coupling effect of DPWM and frequency reduction, provides the optimal operating frequency point to ensure the safe and compliant operation of the converter under overload conditions.

The present disclosure relates to accelerating table lookups using decoupled lookup table accelerators in a system on a chip. In various examples, a VPU and associated components can be optimized to improve VPU performance and throughput. For example, the VPU can include a min / max collector, an auto store prediction function, a SIMD data path organization that allows inter-lane sharing, a transpose load / store with stride parameter function, a load with permute and zero insertion function, a hardware, logic, and memory layout function to allow two-point and two-point by one lookups, and a per memory bank load cache function. Further, a decoupled accelerator can be used to offload VPU processing tasks to improve throughput and performance, and a hardware sequencer can be included in a DMA system to reduce programming complexity of the VPU and DMA system. The DMA and VPU can perform a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

A computer-implemented method for performing a code generation for calculating a Softmax function of a neural network includes (i) providing a displacement s and a multiplier for the quantized representation of the input tensors of the Softmax function of the neural network, (ii) creating a second lookup table to replace a nested function to calculate the EXP_ON_NEG (MUL_SAT ( )) function from a CMSIS NN library depending on the displacement and the multiplier, wherein element values of an input tensor normalized to a negative value range between 0 and a minimum value are used as arguments, wherein 0 is assigned to a maximum possible element value of the input tensor and the minimum value is assigned to the smallest possible element value of the input tensor, and (iii) implementing an access to the second lookup table in a code generated to calculate the Softmax function, so that it replaces the function call of the EXP_ON_NEG (MUL_SAT ( )) function.

This invention belongs to the field of integrated circuit testing and semiconductor manufacturing quality control technology, and discloses an integrated circuit final testing method and system based on dynamic power consumption compensation. The method includes the following steps: acquiring power consumption prediction data for each test vector in the test program; querying a lookup table to obtain the expected voltage drop value corresponding to each test vector; performing feedforward pre-compensation on the supply voltage based on the expected voltage drop value before testing; monitoring the actual voltage at the power supply pin in real time during testing; comparing the actual voltage with the target voltage to generate an error signal; performing feedback fine-tuning compensation on the supply voltage based on the error signal; and collecting the actual voltage drop value under each test vector after testing, iteratively updating the expected voltage drop value of the corresponding test vector in the lookup table based on the deviation between the actual voltage drop value and the corresponding expected voltage drop value. This invention can solve the problems of test misjudgment, low yield, and insufficient test coverage caused by IR drop in traditional testing methods.

This application relates to the field of term management technology, and discloses a term management method, apparatus, electronic device, and storage medium. The method includes: acquiring multiple terms displayed on the same user interface under multiple operating system versions; checking each term separately; obtaining distinguishing characters in the terms; searching a preset distinguishing character lookup table; obtaining the replacement characters corresponding to the distinguishing characters in the terms; wherein the replacement characters corresponding to distinguishing characters representing the same meaning are the same across different operating system versions; replacing the distinguishing characters in the terms with the corresponding replacement characters; matching the terms corresponding to the multiple operating system versions after replacement; and integrating all terms into a target document based on the matching results. Through this method, unified management of terms across multiple operating system versions is achieved, providing a solid data foundation for subsequent advanced functions such as automated translation, term updates, and consistency checks.

The technique disclosed in this invention attenuates spatial crosstalk in sequencing images used for base detection. Specifically, the technique disclosed in this invention accesses an image whose pixels depict intensity emissions from a target cluster and intensity emissions from adjacent clusters. These pixels include a center pixel containing the center of the target cluster. Each of these pixels can be divided into multiple sub-pixels. Based on a specific sub-pixel, among the multiple sub-pixels containing the center pixel of the target cluster, the technique disclosed in this invention selects a sub-pixel lookup table corresponding to that specific sub-pixel from a sub-pixel lookup table library. The selected sub-pixel lookup table contains pixel coefficients configured to maximize the signal-to-noise ratio. The technique disclosed in this invention multiplies these pixel coefficients element-wise with the pixels and determines a weighted sum.

This invention provides a video matching method for uncertainty-aware navigation in ophthalmic surgery, comprising: performing anatomical structure segmentation and neighboring frame fusion matching based on ophthalmic surgical video sequences to obtain a highly reliable neighboring frame matching library; performing motion analysis and frame pair selection and pairing based on a full-frame anatomical segmentation mask to obtain a globally selected set of difficult sample frame pairs; constructing a spatial lookup table to generate a pseudo-label training dataset; performing uncertainty-guided contrastive learning to obtain a final uncertainty-aware matching network; calculating the final filtered rotation angle using a reference frame and the current frame; and updating the incision position, capsulorhexis range, and intraocular lens implantation axis to obtain a real-time superimposed navigation visualization result. This invention can significantly reduce the algorithm training cost, enhance robustness in complex surgical environments, solve occlusion and deformation interference, effectively suppress error accumulation in semi-supervised learning, and improve the absolute accuracy of matching.

This invention provides a method for communicating data between a host device and a target peripheral device connected to the host device. The method may include: receiving at least one identifier of the target peripheral device; generating a configuration key for the target peripheral device based on the at least one identifier; determining whether the configuration key of the target peripheral device is in a lookup table, the lookup table including configuration keys of a plurality of peripheral devices and configuration data corresponding to each configuration key; when the configuration key of the target peripheral device is not in the lookup table, obtaining the interface name of the USB interface of the target peripheral device and obtaining the configuration data of the target peripheral device based on the interface name of the USB interface of the target peripheral device; and communicating data between the host device and the target peripheral device according to the configuration data of the target peripheral device.

The application relates to a self-enclosed self-adaptive amplitude equalizer. The equalizer comprises an equalization circuit, a tuning branch one and a tuning branch two adopting an electric tuning topological structure, the resistance values of the tuning branch one and the tuning branch two are adjusted to realize continuous slope adjustment of-10 dB to +10 dB in a 300 MHz to 1200 MHz frequency band; a main transmission circuit, an input end RFin and an output end RFout of which are respectively used as an input end and an output end of the equalizer; and the outputs of the tuning branch one and the tuning branch two are connected to a fusion node A on the main transmission circuit; a data acquisition and operation circuit, temperature and amplitude-frequency response data are collected in real time through an MCU microcontroller, and a pre-stored temperature-frequency-compensation lookup table and an aging model are combined to calculate a compensation control signal. The equalization circuit slope is adjusted through SPI control of a digital potentiometer and a varactor, and closed-loop self-correction is realized without manual intervention.

A neural processing unit (NPU) may perform computations in integer domains to execute a floating-point model. The NPU may include an input delivery unit (IDU), a processing engine, and a post-processing engine. The IDU may convert floating-point weights to integers, e.g., by normalizing the floating-point weights, mapping the normalized floating-point values to normalized integer values using a look-up table, and scaling up the normalized integer values into integer values. The IDU may load the integer values into the processing engine through an integer datapath in the NPU. The processing engine may compute an output tensor of a neural network operation using the integer values. The post-processing engine may perform per-channel quantization of the output tensor using channel-specific quantization parameters stored in configuration registers of the post-processing engine. The look-up table and configuration registers may be programmed with configuration parameters determined by a compiler.

This invention provides a method for extracting three-dimensional features of steel stamps on water transfer printing paper based on multispectral fusion, relating to the fields of optical inspection, machine vision, and automated quality control. This method utilizes adaptive illumination and image acquisition, employing optimal band optimization, polarization decoupling, and dynamic structured light projection to obtain a series of images separating geometric deformation and pattern interference. Three-dimensional reconstruction is performed using a physically constrained neural network, embedding a double-layer reflection optical model into the network to decouple and predict the paper substrate normal map and integrate to generate a high-precision three-dimensional point cloud. Multi-dimensional geometric features such as height, curvature, and shape are then extracted from the point cloud. Finally, based on a three-dimensional lookup table, the features are mapped to a comprehensive defect level, and automated, differentiated graded processing is performed. This invention achieves non-contact, micron-level high-precision inspection and intelligent quality control of steel stamps on complex surfaces.

The invention belongs to the technical field of deep space exploration, and particularly relates to a multispectral image displacement depth adaptive mapping method and system based on radiometric calibration, and the method comprises the steps: obtaining original black field data with the input bit depth being N and original flat field data with the input bit depth being N; after bad pixels are shielded according to the original black field data and the original flat field data, row offset and row response are calculated; sequentially determining a global scale according to the row offset and the row response, calculating an integration slope, and generating a lookup table according to the integration slope; and acquiring real-time monitoring input, reading the M-bit output value corresponding to the real-time monitoring input according to the lookup table, and correcting and updating the lookup table according to the M-bit output value. Based on a parameterized calculation process (derivation from row bias and row response to a global scale and an integrated slope), different input bit depth and output bit depth requirements can be met by modifying input parameters, inherent limitation caused by hard coding is avoided, and the configurability of cross-platform tasks is improved.

The application provides a double-precision floating-point division calculation device, method and chip, relates to the technical field of computer chip design, and a pre-processing unit receives a dividend and a divisor in a double-precision floating-point format, detects the number of leading zeros of the mantissas of the two, and determines the exponent attribution of a quotient result in combination with the exponent values; if the quotient result is a non-normalized number, the corresponding right shift amount is determined according to the exponent attribution. A dynamic iteration unit generates an iteration total number control signal according to the right shift amount, accesses a look-up table to output a quotient value candidate based on the specific high bit combination of the remainder and the divisor in each clock cycle, updates the remainder, synchronously generates and adjusts a quotient value selection function, and left shifts the effective quotient value of each round according to the remaining iteration number and the right shift amount. A post-processing unit outputs a double-precision floating-point division result according to the final quotient value selection function, the sign and value of the remainder of the last round and a preset rounding rule when the iteration is completed. The application reduces the operation delay and power consumption.

The invention relates to a method for correcting a transmission frequency for an electronic device comprising a temperature sensor, a transmitter, and a microprocessor suitable for transmitting a transmission setpoint to the transmitter, the method comprising the following steps: - measuring (step E1) the temperature of the transmitter via the temperature sensor; - determining (step E2) a correction coefficient by searching a lookup table of correspondences between different transmitter temperatures and correction coefficients suitable for compensating for frequency drift of the transmitter as a function of its temperature, the lookup table being stored in the electronic device; - adjusting (step E3), by the microprocessor, the transmission setpoint as a function of the determined correction coefficient; and - transmitting (step E4), by the transmitter, an electromagnetic wave according to the adjusted transmission setpoint.

Memory recall for a neural network includes: receiving one or more inputs for the neural network; determining whether an entry corresponding to the one or more inputs is stored in a memory lookup table for the neural network, wherein the memory lookup table includes a plurality of entries, each of which associates a corresponding neural network input with a corresponding output generated by a version of the neural network; providing the corresponding output for the entry in response to the entry being stored in the memory lookup table; and providing the output by processing the one or more inputs by the neural network to generate an output in response to the entry not being stored in the memory lookup table.

The application discloses a three-dimensional look-up table (3D-LUT) construction method and a color correction method based on FPGA, wherein the construction method comprises: interval sampling a 3D-LUT from three dimensions to form a three-dimensional look-up table, and the three-dimensional look-up table comprises: eight Sub-LUTs for storing split 3D-LUT data; wherein N is the sampling point number of three RGB channels in the 3D-LUT; the 3D-LUT contains (N-1) 3 cubic units; the Sub-LUT contains (M-1) 3 cubic units; and M is the sampling point number of three RGB channels in the Sub-LUT. The method can reduce BRAM resource occupation and is suitable for the technical field of image and video processing.

The application discloses a terminal cooperative digital pre-distortion strategy system and belongs to the technical field of wireless communication. The digital pre-distortion module and the terminal module work cooperatively, a specific sequence is inserted at a fixed position, more effective data is provided for the pre-distortion module, the pre-distortion module modeling is more accurate, and a more suitable strategy decision is made for a fast changing scene. The system comprises a state monitoring module, a digital pre-distortion module, a parameter evaluation module, a terminal module and a front end module, the working state of the system is detected, the pre-distortion module is started according to requirements, the characteristics of forward and feedback signals are analyzed, whether the signals are suitable for pre-distortion modeling is judged, and the look-up table data is detected to guarantee the accuracy of the pre-distortion coefficient. The application can realize the interaction and cooperative work of the terminal module and the digital pre-distortion module, is more favorable to the establishment of a digital pre-distortion model, and has a better pre-distortion effect.

The processing device and method for adaptive extension lookup table provided by the embodiments of the present application store a first lookup table with high precision and large quantity in a first storage unit, and dynamically maintain a second lookup table with low precision and small quantity and an anchor scaling factor in a second storage unit. A processing unit dynamically resamples the first lookup table according to the actual value distribution of parameter input data, updates the output value of the second lookup table, and calculates the corresponding anchor scaling factor. When processing subsequent data, the input value is first mapped to the coverage range of the second lookup table by using the anchor scaling factor, and then the output value corresponding to the second mapping value is determined by table lookup. Thus, in the case of limited hardware storage resources, the value interval most active for the current data can be adaptively concentrated, that is, the interpolation precision of the main data region is improved without increasing the hardware cost, and the waste of storage resources caused by the fixed anchor distribution is avoided.

This invention discloses an adaptive in-situ 3D printing method for TBM lining, belonging to the field of tunnel construction and lining technology. The method includes: acquiring segmented point cloud data through surrounding rock scanning; using adaptive voxel downsampling and mode-switchable coarse registration combined with ICP fine registration to stitch the point cloud together, generating a continuous inner surface of the surrounding rock; constructing a target lining model based on the inner surface of the surrounding rock, following the principle of filling convex pits and avoiding concave peaks; employing a dual-channel slicing strategy based on the geometric features of the target tunnel, performing axial slicing on the target tunnel model and radial slicing on the lining model, and reversing the slice sequence; generating a printing path through safety zone construction and adaptive path filling of gap width; determining process parameters using a lookup table method; and achieving closed-loop control through real-time monitoring. This invention achieves high-precision adaptive molding of TBM lining, significantly improving construction efficiency, molding quality consistency, and intelligent level.

This disclosure generally relates to video coding / decoding, and in particular to enhancing block-adaptive weighted prediction. The method involves receiving a coded video bitstream, which includes the current block of the current frame and a first syntax element indicating the prediction mode of the current block, wherein a plurality of scaling factor lookup tables are stored and include different ranges of scaling factors. In multiple scaling factor lookup tables, the step size or precision of the scaling factor in each lookup table is the same, and A step of determining a prediction mode based on the value of a first syntax element, wherein the prediction mode is used to predict the current block based on the reference block of the reference frame. The steps include determining a scaling factor from one of several scaling factor lookup tables, The process includes the step of reconstructing the current block based on a reference block and a determined scaling factor.