3013 results about "Lookup table" patented technology

The invention provides a self-adaptive nonlinear image enhancement method and system for a low-light scene of a mobile terminal, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image preprocessing and noise reduction, and carrying out the graying and noise suppression of an input color image through a local variance self-adaptive algorithm; adaptive down-sampling is carried out, and the down-sampling proportion is dynamically adjusted according to the image resolution and the content complexity, so that the processing efficiency is improved; brightness adaptive enhancement is carried out, and the overall brightness of the image is rapidly improved by adopting an Otsu method and a lookup table; contrast nonlinear enhancement: enhancing image details and contrast in combination with a Laplace operator and local mean adjustment; and color restoration: restoring the resolution through bilinear interpolation and performing weighted fusion to realize natural color reconstruction. And finally, a high-quality image of which the brightness, the contrast ratio and the color are remarkably improved is output. According to the invention, the recognition accuracy and processing efficiency of the low-illumination image are improved.

The invention discloses an error compensation inductance sensor calibration method and system, and the method comprises the steps: controlling a macro-micro composite driving platform to drive a moving part provided with a to-be-calibrated inductance sensor, and enabling the moving part to carry out the continuous displacement movement relative to a fixed standard target surface; measuring the actual displacement of the moving part to obtain a standard displacement sequence; the actual output voltage of the inductive sensor to be calibrated in the movement process is synchronously collected, and an actual measurement value sequence is formed; solving measurement deviation, generating a measurement deviation sequence, and dividing the sequence into not less than three compensation intervals according to a displacement range; a compensation value lookup table is established in each compensation interval, and calibration parameters used for correcting zero offset, gain drift and nonlinear characteristics are generated. Displacement measurement and sensor output synchronous acquisition are combined, zero offset, gain drift and non-linear errors can be corrected in a targeted mode, and compensation fineness and adaptability are improved.

The invention relates to the technical field of intelligent control, in particular to a numerical control lathe cutting precision optimization method and system for metal part machining, and the method comprises the steps: constructing a multi-mode key feature set with aligned timestamps; the initial compensation amount in the cutting feeding direction is obtained from the tool compensation lookup table; searching a corresponding historical cutting state from the processing state matrix, and inputting the key temperature distribution gradient of the cutter side, the key vibration absolute peak value of the lathe spindle and the corresponding historical cutting state into a weight coefficient model to obtain a temperature compensation weight and a vibration compensation weight of the current cutting state; calculating a dynamic correction factor, and correcting the initial compensation amount in the cutting feeding direction through the dynamic correction factor to obtain a cutting feeding direction compensation amount with a timestamp; the compensation rate of the cutting feeding direction compensation amount and the target feeding displacement under the same timestamp is calculated; and the cutting precision is optimized according to the comparison result of the compensation rate and the cutting key feeding relative deviation rate. And the requirements of high precision, low cost and fast response are met.

Devices, systems, and methods for encoding and decoding digital video using a lookup table (LUT) containing motion candidates are described. In a representative aspect, a method of video processing includes: maintaining one or more tables, wherein at least one of the one or more tables is associated with one or more entries; deriving a second set of motion candidates based on a first set of motion candidates in the at least one table; and performing a conversion between a current block of a video and a bitstream representation of the video based on the second set of motion candidates.

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.

The invention discloses a diversified recommendation method based on a graph neural network and reinforcement learning. The method comprises the following steps of: preprocessing collected data containing users and things to form a data set, and dividing the data set into a training set, a test set and a verification set: mapping the users and things in the data of the training set to a dense vector space through a lookup table of an embedded layer, and selecting the data of the users and things through a facility site selection method; iteratively screening an object with the highest dependency from the vector representation embedded by the embedding layer, and constructing a diversified neighborhood subset of each user; on the basis of the constructed neighborhood subset, performing secondary neighbor selection by using an A3C algorithm, dynamically adjusting a recommendation strategy through continuous interaction between the user and the environment, capturing and adapting to the change of user interest, and performing secondary neighbor selection; inputting a selection result of the secondary neighbor selection module into a graph neural network model for processing, and training the model; and verifying the trained model by using the verification set, and performing model performance evaluation through the test set. The diversity and adaptability of recommendation can be improved.

The invention provides a Demura compensation data generation method of an AMOLED (Active Matrix / Organic Light Emitting Diode) panel and related equipment. The method comprises the following steps: respectively acquiring corresponding brightness data of each pixel position on a target AMOLED display panel when a multi-stage typical gray scale is input under a multi-stage typical display brightness value and a multi-stage typical refresh rate; constructing a brightness-gray scale mapping model according to a mapping relation between the brightness data and each stage of typical gray scale; counting the brightness data to obtain a brightness mean value as standard brightness, and importing each brightness-gray scale mapping model to obtain an actual expected gray scale of each pixel position; the difference value between the actual expected gray scale and the input typical gray scale is solved, the gray scale compensation value of each pixel position is obtained and used for constructing a compensation lookup table, interpolation fitting is carried out on the compensation lookup table, the compensation lookup table of the target AMOLED display panel under the full display brightness value, the full refresh rate and the full gray scale is obtained, the brightness uniformity of the panel is improved, and the display quality of the AMOLED display panel is improved. And the production yield is improved.

The invention provides an image processing method, processing equipment and a storage medium. The image processing method comprises the following steps: determining or generating a target image block according to a reference parameter of at least one image block and a filtering lookup table; according to the technical scheme, when the filtering lookup table is adopted for filtering processing, the complexity of video coding and / or decoding can be reduced through the technical scheme, and then the efficiency of video coding and / or decoding is improved.

The invention discloses a data output method and device based on fixed-point number extraction and a storage medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the calculation and normalization processing of a non-zero positive number of an input value through a precision formula, and generating a valid number corresponding to the non-zero positive number; querying in a compression lookup table according to a compression index corresponding to the effective number to obtain a reciprocal square root approximate value corresponding to the effective number; performing iterative optimization, index parity adjustment, remainder feedback correction and boundary specialization processing on the basis of a reciprocal square root approximate value corresponding to the effective number to generate an effective result; and carrying out reverse normalization processing on the effective result, generating a fixed point number corresponding to the effective result, and outputting the fixed point number. According to the invention, through conversion between the fixed-point number form and the effective number form, the technical problem of distributed environment amplification errors in a fixed-point number extraction algorithm in related technologies is solved, and the performance and accuracy of fixed-point number extraction are improved.

The invention relates to a color calibration method and system based on a display driving chip, and the method comprises the following steps: carrying out the sub-pixel spectrum reconstruction of an original spectrum data stream based on a color gamut boundary vector group, and obtaining a sub-pixel spectrum matrix; performing white point chromaticity estimation on the sub-pixel spectrum matrix to obtain white point chromaticity coordinates; performing gamma curve correction on the sub-pixel spectrum matrix based on the white point chromaticity coordinates to obtain a gamma correction coefficient matrix; performing color space conversion on the gamma correction coefficient matrix through a preset three-dimensional lookup table to obtain color control parameters, and inputting the color control parameters into a preset display driving chip to drive sub-pixels of each pixel unit in the display panel to emit light to obtain color calibration display output, the defects of a traditional display driving chip in the aspect of color calibration are overcome, and the defects are mainly embodied in the technical problems that color differences between different display panels cannot be effectively processed and the color drift phenomenon occurs along with time lapse.

The invention provides a cross-platform content compatibility method and system based on a virtual shooting LED display screen. The method comprises the following steps: processing an irrelevant data content stream of a content stream of a heterogeneous content source to generate an intermediate data stream; constructing a virtual logic display space according to the resolution parameter of the intermediate data stream and the curvature data of the physical screen database; performing dynamic resource allocation based on the control point grid of the virtual logic display space, and generating a rendering task queue; loading a three-dimensional lookup table to perform forward color gamut conversion according to the rendering task queue and a physical screen color configuration file, and adjusting HSL offset according to collected real-time chroma data to generate frame cache data; and determining a delay compensation value based on the frame buffer data and the PTP clock signal, and inserting a corresponding time offset in an output queue through the delay compensation value to generate a multi-screen output signal. According to the scheme, the rendering accuracy, the color consistency and the display stability in the virtual shooting scene can be remarkably improved.

The embodiment of the invention provides a surface reflectance inversion method and device for optical satellite remote sensing data, and the method comprises the steps: obtaining sensitive parameter data corresponding to pixels, the pixels are all pixels in to-be-inverted optical satellite remote sensing data, and the optical satellite remote sensing data are collected by an optical satellite sensor, the sensitive parameter data comprises observation geometric data, atmosphere auxiliary data and elevation data; inputting the sensitive parameter data into an atmospheric correction neural network model to obtain an atmospheric correction coefficient of the pixel, the atmospheric correction neural network model being obtained by pre-training based on an atmospheric correction coefficient lookup table of the optical satellite sensor; and calculating according to the atmospheric correction coefficient and the radiation brightness of each pixel to obtain the surface reflectance of the optical satellite remote sensing data. According to the method, the inversion of the surface reflectance is carried out pixel by pixel based on the neural network model, and the method has the characteristics of high universality, high inversion precision and high calculation speed.

The invention relates to the technical field of caching, in particular to a data processing method and device, equipment and a medium, and the method comprises the steps: obtaining a first virtual index and a first physical identifier of a data access request; according to the first virtual index and the first physical identifier, determining whether the request data is hit in the first-level cache; determining whether the same identifier exists in a lookup table according to the first physical identifier, wherein each register in the lookup table stores a uniquely corresponding physical identifier, a virtual index, a cache way number and a significant bit; if the request data are not hit and exist, accessing the corresponding request data from the first-level cache according to the second virtual index and the cache path number in the lookup table; if the first virtual index is not hit and does not exist, sequentially adjusting alias bits of the first virtual index; and accessing the data based on the physical identifier corresponding to each cache path number corresponding to the third virtual index obtained by adjustment in the first-level cache and the first physical identifier. The data access efficiency can be improved.

The invention discloses a multi-objective optimization method and system for dual active bridge circuit expansion phase shift modulation, and the method comprises the steps: calculating a voltage matching ratio, and determining an external phase shift angle ratio based on a difference value between an output voltage and an output voltage reference value; according to the voltage matching ratio and the external phase shift angle ratio, obtaining an internal phase shift angle ratio of the primary side full bridge through an offline lookup table; calculating the maximum transmission power of the dual-active bridge converter, and determining a current working mode from the six preset working modes based on the size relationship between the inner phase shift angle ratio and the outer phase shift angle ratio; generating an optimal modulation strategy through a multi-objective optimization algorithm by taking the current effective value and the current peak value as optimization objectives and combining the voltage matching ratio and the periodic parameters of the current working mode; and generating a trigger signal of each switch tube of the dual-active bridge converter. Through six-mode working area division, complete differential algorithm boundary constraint and off-line-on-line collaborative optimization, the contradiction between the current stress and the soft switching range of the converter under extended phase shift modulation is solved.

The invention discloses an OFDM-IM-LDPC (Orthogonal Frequency Division Multiplexing-Index-Low Density Parity Check) coding and decoding method based on a combination number index, and belongs to the field of According to the method, the symbol bit information and the index position obtained through calculation are independently coded, original direct coding of information source bits is replaced, the misjudgment rate of the index position is reduced, the accuracy of a subcarrier activation mode is improved, meanwhile, the index position is calculated through the combinatorial number method, the application range of the system is expanded, and the system reliability is improved. Meanwhile, resource waste caused by a preset lookup table is reduced, the implementation difficulty is lowered, and higher flexibility and expansibility are provided. According to the method, the high error correction performance of the LDPC code is utilized, the redundancy of bit information and index positions is increased, noise and attenuation in a channel are effectively resisted, and high precision of data decoding is achieved; according to the method, the log-likelihood ratio soft information is selected for decoding, and the robustness and the accuracy of signal demodulation recovery are improved while the judgment complexity is reduced by arranging the soft information in a descending order and dynamically adjusting an illegal subcarrier mode.

The invention relates to the technical field of SAR (Synthetic Aperture Radar) image processing, and particularly discloses an SAR image terrain radiation correction method considering overlay and shadow regions, which comprises the following steps: acquiring an SAR image, a DEM (Digital Elevation Model) image and a source file in a research region; carrying out multi-view processing on the original SAR image, resampling the DEM image, and carrying out radiometric calibration; geometric positioning is carried out according to the RD model by adopting an indirect positioning method, lookup tables A and B are generated, and images are registered; detecting pixels of the overlay area and the shadow area; calculating an effective scattering area corresponding to each SAR pixel; and performing radiation correction according to the effective scattering area, repairing a back scattering coefficient value of the shadow area, and finally performing geometric correction. According to the method, the topographic effect caused by an SAR imaging mechanism and topographic relief is eliminated to a certain extent, the radiation correction effect of an area with large topographic relief is improved, and the corrected product can be widely applied to the fields of ground feature inversion and classification, deformation detection, target detection and the like.

Disclosed in the present invention are a current lookup table-based permanent magnet synchronous motor wide voltage range control method and a medium. The method comprises: by means of a full-speed domain current calibration method, obtaining a rotating speed-torque two-dimensional lookup table under a rated bus voltage; on the basis of the lookup table, multiplying a given rotating speed with a front-and-rear amplitude limiting voltage ratio to achieve wide voltage range control; and performing friction torque compensation and sampling delay compensation of a three-phase current at different rotating speeds. The present invention takes into account bus voltage fluctuation under the complex working condition of an electric vehicle, and multiplies the given rotating speed with a variable voltage coefficient ku to obtain an input rotating speed of an input current lookup table, such that precise current control of the permanent magnet synchronous motor under different bus voltage working conditions can be achieved, thereby avoiding the complex and tedious process of re-calibration of the current lookup table under different bus voltages; the present invention also takes into account friction torque compensation and phase current sampling delay compensation at different rotating speeds, wherein the friction torque compensation can be achieved by directly adding a friction torque error into a given torque signal in real time.

The invention relates to a color enhancement method and device, equipment and a storage medium, and the method comprises the steps: responding to an original RGB value of a to-be-displayed image of a screen, and detecting the illuminance of the current environment of the screen; a first three-dimensional color lookup table is obtained in response to the situation that the illuminance meets a preset condition, and the first three-dimensional color lookup table is constructed based on an original color gamut of the screen; and performing gamut mapping on the original RGB value based on the first three-dimensional color lookup table to obtain a target RGB value of the to-be-displayed image, the target RGB value being used for the screen to display the to-be-displayed image. According to the invention, the display color of the screen can be enhanced by using a larger color gamut when the illuminance meets the preset condition, the color display precision of the to-be-displayed image can be maintained, the image blurring is avoided, and the user experience can be improved.

The invention provides a nonlinear activation function rapid calculation device and method based on a coefficient lookup table, and the device comprises an input selection unit which is used for selecting an input floating-point number; the coefficient lookup table unit is used for dividing the whole region of the activation function into a plurality of intervals and dividing a non-infinite interval into a plurality of sections; carrying out approximation on each section by using a quadratic function so as to establish a coefficient lookup table; the preprocessing unit is used for performing feature extraction on the floating-point number to obtain a sign bit, an order code and a mantissa; the operation unit is used for calculating an index value and a second mantissa subsegment; obtaining a corresponding quadratic function coefficient in a coefficient lookup table according to the index value; obtaining a value of a quadratic polynomial based on the second mantissa sub-segment, a corresponding quadratic function coefficient and fixed-point number multiplication and addition operation; and the post-processing output unit is used for normalizing the value of the quadratic polynomial and outputting a value in a floating-point number format in combination with the sign bit and the order code of the floating-point number, so that the problem that the calculation speed of the activation function is relatively low is solved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit an uplink message (e.g., a scheduling request) indicating one or more beam directions (e.g., one beam direction, a set of beam directions, a sequence of beam directions), one or more beamwidths (e.g., for the one or more indicated beam directions), an angular area of interest for radar sensing, or a combination thereof. The network entity may then provide, to the UE, a grant of resources for performing the radar sensing on specific radar sensing transmit beams (e.g., that will not interfere with other radar sensing by other UEs, uplink communications form other UEs, sidelink communications by other UEs, etc.). The UE may indicate the directions of the beams with reference to a global coordinate system. The network may configure the UE with lookup tables (LUTs) defining relationships between indices, beam directions and / or beamwidths.

The invention discloses a soil water content inversion method based on improved combination roughness, and relates to the field of remote sensing, and the method comprises the steps: synchronously obtaining a Sentinel-1 radar image and a Sentinel-2 optical image, and extracting different polarization backscattering coefficients, local incident angles and normalized water body indexes through preprocessing; the method comprises the following steps: generating a bare soil simulation backscattering coefficient data set, removing vegetation scattering contribution by using a water cloud model, obtaining a real bare soil backscattering coefficient, constructing a training set and a verification set containing actually measured soil water content, constructing a lookup table based on double models, and calculating the water content of the bare soil by minimizing a root-mean-square error between simulation and the real backscattering coefficient. Global search is carried out in a preset parameter space to determine an optimal earth surface root mean square height and a correlation length, a novel polynomial combination roughness is constructed, a physical correlation between the roughness and a backscattering coefficient is established, a dual-polarization empirical equation set is constructed, and simultaneous solution is carried out after parameters are optimized according to a criterion; according to the method, a more reasonable inversion result of the soil water content in a large range can be obtained.

One or more systems, methods and / or machine-readable mediums are described herein for adaptively quantizing the parameters that are aimed to be deployed on in-memory computing systems based on magnetic memory devices. The method includes quantizing parameters based on a conductance shift sensing process, a sensed conductance shift value, a conductance shift lookup table, and a parameter to be quantized. The parameter can be quantized by using a value recorded in the lookup table, such as rounding to the nearest value. The lookup table can be generated by the conductance shift sensing process which can enabling recording of a sensed conductance of a magnetic memory device and an associated device state. The conductance shift sensing process can set the magnetic memory device (MMD) to different states and can measure the conductance shift of the MMD, caused by the state setting, using suitable equipment.

A method including applying a large language model to a query to generate a query vector. The query vector has a query data structure storing a semantic meaning of the query. The method also includes applying a semantic matching algorithm to both the query vector and a lookup vector. The lookup vector has a lookup data structure storing semantic meanings of entries of a lookup table. The semantic matching algorithm compares the query vector to the lookup vector and returns, as a result of comparing, a found entry in the lookup table. The method also includes looking up, using the found entry in the lookup table, a target entry in the lookup table. The method also includes returning the target entry.

A video processing method is provided to include: maintaining one or more motion candidate tables; performing a conversion between a current video block of a video and a coded representation of the current video block using multiple video processing operations in a sequence using a motion candidate table; and updating the motion candidate table due to completion of a particular processing operation.

Methods, systems, and non-transitory computer readable storage media are disclosed for optimizing computer memory usage for lookup lists in computer memory via probabilistic data structures. For example, the disclosed system generates a probabilistic data structure (e.g., a Bloom filter) to represent data in a lookup list including multi-token items by hashing items of the lookup list to sets of bit values in a bit vector. The disclosed system classifies text content in a digital document by utilizing a maximum number of tokens from multi-token items in the lookup list to select and compare sets of sequential tokens in the digital document to the probabilistic data structure. The disclosed system also iteratively reduces the number of tokens in sets of sequential tokens for subsequent comparisons. Furthermore, in some aspects, the disclosed system causes a computing device to modify a digital document and / or database operations based on the classifications.

An augmented reality device for obtaining three-dimensional (3D) position information of a plurality of hand joints of a user includes a plurality of cameras configured to photograph the user's hand and obtain images; memory storing instructions; and at least one processor; the instructions, when executed, may cause the device to recognize the plurality of hand joints from the images; obtain two-dimensional (2D) joint coordinate values for feature points corresponding to the hand joints; retrieve, from a look up table (LUT), 3D position coordinate values corresponding to distortion model parameters of the cameras, a positional relationship between the cameras, and the 2D joint coordinate values; and output the 3D position information of the plurality of hand joints based on the 3D position coordinate values.

The invention belongs to the technical field of storage and calculation integration, and particularly relates to a low-bit-width and high-energy-efficiency floating point storage and calculation integrated circuit based on a partial pre-alignment framework. The circuit comprises a memory array, a pre-calculation unit, an adder tree, a configurable arithmetic unit and a normalization unit, and supports mixed precision operation of FP8MACFP4 and FP8MACFP8. The method is characterized in that a partial pre-alignment strategy dominated by an activation value is adopted, the maximum index of the activation value is dynamically counted, the mantissa of the maximum index is aligned, and multiple partial pre-alignment intermediate results are pre-calculated and latched for reuse; in combination with a customized lookup table and a multiplexer, a pre-calculation result is directly selected to replace real-time multiplication and displacement; and through the reconfigurable hardware, the FP8MACFP8 high-precision operation is realized by utilizing the FP8MACFP4 unit combination. According to the method, complete online floating point multiplication and addition operation is realized, and excellent energy efficiency ratio and operation speed are obtained while high precision is kept.

The invention provides a control method of storage equipment, the storage equipment and a computer storage medium. The method comprises the following steps: taking data read under initial threshold voltage as original data; symmetrically shifting the initial threshold voltage by taking the initial threshold voltage as a center, and reading data again as bias data; the mutually symmetrical bias data are logically processed, and judgment data are obtained; the original data and the judgment data are combined, a partition array is obtained, the credibility of the partition array is obtained through a lookup table, and the credibility and the accuracy of the judgment data are in positive correlation; the judgment data with high confidence reliability are preferentially judged, and the judgment data are decoded and processed; when decoding processing is started, the number of times of symmetrical offset initial threshold voltage is increased, and data are read again to serve as bias voltage data of the next round; and the step of obtaining the judgment data, the step of obtaining the credibility and the decoding process are cycled until decoding succeeds or the number of symmetric offset times reaches an offset time threshold value.

The invention discloses a satellite-ground integrated imaging parameter tuning method based on target imaging performance simulation. The satellite-ground integrated imaging parameter tuning method comprises the following steps: constructing an optical camera imaging parameter lookup table meeting satellite design indexes; determining a satellite attitude and orbit position parameter sequence during satellite imaging observation; target radiation characteristic parameters of the imaging area are determined, and meanwhile, target optical characteristics are utilized to model target radiance signals; determining the boundary of the optional imaging parameter combination of each spectrum band of the satellite optical camera; estimating imaging performance parameters of the satellite optical camera under various imaging parameter combination conditions; and calculating a mahalanobis distance by using the imaging performance parameters of the satellite optical camera under each parameter combination and task indexes required by an imaging task, and obtaining an optimal imaging parameter according to the mahalanobis distance. According to the invention, automatic optimization of optical satellite imaging parameters is realized, and the usability of satellite control is improved.

The invention provides a correction method and system for anisotropic reflection of GF6-WFV data, and belongs to the technical field of spatial information.The correction method comprises the steps that the GF6-WFV data is subjected to block processing, data of a block center is compared with data extracted from satellite navigation file data, atmospheric correction is carried out on the block data one by one, and the correction efficiency is improved; the processing efficiency and the correction precision are remarkably improved, image data are divided into small blocks with 2000 * 2000 pixels through blocking processing, the pixel amount calculated each time is reduced, the method is more suitable for rapid processing of large-data-amount and high-resolution images, the blocking coverage range is large, local and overall consistency can be taken into account, and secondly, the processing efficiency and the correction precision are greatly improved. And the zenith angle and observation angle parameters of each block are standardized by the angle normalization model, so that the angle difference between different areas is reduced, and the accuracy of a correction result is improved. And finally, in combination with a lookup table technology, computing resource consumption can be remarkably reduced, and the method is convenient to operate in practical application of radiation correction and has the advantages of high efficiency and convenience.