1599 results about "Lookup table" patented technology

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 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.

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.

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.

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 an urban area-oriented multi-source remote sensing data joint positioning method and system, and the method comprises the steps: obtaining a plurality of optical stereoscopic images and corresponding connection point data, constructing an optical stereoscopic block, and extracting laser elevation control point data and digital surface model data in the range of the optical stereoscopic block; calculating a ground coverage range of a plurality of optical stereoscopic images, mapping the ground coverage range to a grid unit by adopting a grid lookup table, obtaining a laser point accurate image space coordinate by combining the screened laser elevation control point data, and outputting a laser elevation control point set; calculating a laser elevation control point set based on a rational function model and affine transformation, and constructing a multi-source remote sensing data joint adjustment function model; and resolving the multi-source remote sensing data joint adjustment function model to form an observation error equation, performing heuristic search solution on the observation error equation, and outputting an adjustment model parameter result and a final connection point ground coordinate.

The invention belongs to the technical field of remote sensing, and relates to a multispectral remote sensing atmospheric correction method based on fusion of a physical model and a neural network, which comprises the following steps: S1, classifying aerosol parameter data obtained based on foundation observation, remote sensing inversion or meteorological model and satellite data fusion inversion by adopting an unsupervised clustering algorithm, extracting a typical aerosol mode with physical representativeness; s2, in combination with the typical aerosol mode, simulating the apparent reflectivity of an observation channel under a plurality of atmospheric states and observation geometric conditions by using a radiation transfer model, generating a lookup table covering a wide parameter space, and constructing a training data set; and S3, constructing a nonlinear regression model, taking the training data set as a training sample, learning a mapping relation among an observation angle, an aerosol condition and surface reflectance, performing atmospheric interference correction on an actual multispectral remote sensing image under a pollution condition, and outputting a surface reflectance result.

Certain aspects of the present disclosure provide techniques for identifying a minimal, or at least reduced, set of representative calibration paths in radio frequency (RF) circuits and calibrating other calibration paths based on calibration codes used for the representative calibration paths. An example method generally includes receiving a calibration data set including measurements associated with each calibration path of a plurality of calibration paths in an RF circuit. Based on a clustering model and the calibration data set, a plurality of calibration clusters is generated. From each respective calibration cluster of the plurality of calibration clusters, a respective representative calibration path for is selected for the respective calibration cluster. Generally, calibration codes generated for the representative calibration path are applicable to other calibration paths in the calibration cluster. A lookup table is generated associating a respective calibration path with other calibration paths in each respective calibration cluster.

The invention relates to the technical field of yield control, in particular to a neutron generator yield control method and system. The method comprises the following steps: establishing a polynomial model by using historical yield data to predict a target efficiency attenuation factor; dynamically determining neutron event boundaries in the pulse integral value and the pulse width two-dimensional characteristics based on the attenuation factor, and counting the neutron event boundaries; the yield deviation and the change rate are calculated, and when the deviation exceeds a threshold value, feedforward compensation is carried out on the target yield; and selecting a three-dimensional lookup table, an input deviation, a change rate and a current high voltage according to the interval to which the attenuation factor belongs, and cooperatively determining the adjustment amount of the ion source current and the accelerator high voltage. According to the scheme, the measurement and control problems caused by aging of the target piece can be solved, and the precision, the response speed and the long-term stability of yield control are improved.

The invention relates to the technical field of medical care, and discloses an intelligent oral sputum suction system based on multi-parameter feedback and a self-adaptive pressure adjusting method.The method comprises the steps that in a pipeline cleaning state, a standard load lookup table of working parameters of a negative pressure pump and pipeline negative pressure is established; in the sputum suction operation process, a first measurement value of the negative pressure of the pipeline and a second measurement value of the working parameters of the negative pressure pump are obtained in real time; according to the first measurement value, determining a corresponding negative pressure pump working parameter from the standard load lookup table as a standard working parameter, and when the second measurement value is higher than the standard working parameter, determining a compensation amount for correcting the first measurement value based on a difference value between the second measurement value and the standard working parameter, compensating the first measurement value according to the compensation amount to obtain a calibration negative pressure value; and if the calibrated negative pressure value exceeds the preset safety negative pressure upper limit, the working parameters of the negative pressure pump are adjusted to reduce the actual negative pressure. The problem of damage caused by inaccurate reading of the sensor in the prior art is effectively solved.

To employ low resolution, noisy tone mapping operations for high resolution images, at least one raw image frame is converted to a first image at a higher resolution and a second image at a lower resolution. Tone mapping is applied to the second image to derive a third image at the lower resolution. Histogram matching and regularization are performed to determine a lookup table approximating histogram matching of the second image to the third image. A global gain map is derived based on luma for the first image and the lookup table. A local gain map is derived by up-sampling and denoising residual differences between the third image and the lookup table applied to the second image. Based on the global gain map and the local gain map, a total gain map is determined for tone mapping the first image to produce a fourth image at the first resolution.

A method for determining an angle of arrival (AoA) of a radio frequency (RF) signal received at an antenna array. The method includes determining theoretical signals to be received at an antenna array having first and second antenna pairs. Antennas of the first antenna pair are offset from each other by a first offset angle and antennas of the second antenna pair are offset from each other by a second offset angle. A look-up table is generated based on the theoretical signals. An RF signal is received at each antenna pair and the antenna outputs in each antenna pair are combined to produce first and second difference values. The first and second difference values are compared to theoretical difference values in the look-up table. A measured AoA of the RF signal is determined based on the comparison of the first and second difference values to the theoretical difference values.

The application discloses an improved radar two-dimensional ambiguity resolution method for multi-targets, comprising the following steps: arranging point trail data after radar signal processing according to pulse repetition period from small to large; constructing a reference lookup table for resolving range ambiguity based on the arranged data; constructing a reference lookup table for resolving velocity ambiguity based on the arranged data; traversing all the frequency combinations of radar transmission, selecting N groups from M groups of frequency for multi-target pairing; obtaining a range pairing table based on the reference lookup table for resolving range ambiguity, calculating the standard deviation between rows of the range pairing table, and solving the real range of targets; obtaining a velocity pairing table based on the reference lookup table for resolving velocity ambiguity, calculating the standard deviation between rows of the velocity pairing table, and solving the real velocity of targets; and merging and processing output target data. The application can solve the problem that the traditional one-dimensional set method cannot meet the real-time requirement when the number of targets is large and the ambiguity is large.

Systems, methods, and apparatuses for securing a communication network are provided. Transmitting a first signal including encoding a first timestamp, a first identifier, and a message authentication component. Obtaining a message signal comprising one or more service variables associated and an encrypted unique identifier. Authenticating the encrypted unique identifier based on a comparison of the encrypted unique identifier against a plurality of stored unique identifiers in a lookup table. Generating a second signal comprising an encoding of a subset of the service variables, the encrypted unique identifier, and a second timestamp. Transmitting the second signal to each remote receiver in a subset of the plurality of remote receivers.

The invention provides a communication optimization method for topological table persistent storage in efficient parallel computing, belongs to the technical field of storage communication, and aims to avoid pseudo sharing by aligning memory allocation through cache lines, expand local topological coverage through a topological entropy increment driven prefetching mechanism, and improve the reliability of the topological table persistent storage. Boundary processing is accelerated through a pre-calculation period mapping lookup table and a frequency domain transfer function vector, synchronization overhead is optimized through a concurrency control mechanism perceived by a read-write ratio, targeted cache preloading is achieved through stability and jitter degree two-dimensional evaluation, bandwidth consumption is reduced through an increment synchronization mechanism, and the stability of the cache is improved. The communication template is selected or the communication parameters are generated through adaptive conversion by matching the matching degree decision, and the technical problem that the parallel computing performance is reduced due to the fact that the communication overhead is too large in the topological table persistent storage process is solved.

A method and associated memory system for randomizing memory storage data. The method and system receive at a data inverter user data and meta data sequence having an inversion seed bit, determine a value for the inversion seed bit from a look up table specifying inversion seeds for different pages of data to be stored in a memory, depending on the value of the inversion seed bit, bit-flip the user data and meta data sequence except for the inversion seed bit; and regardless of bit-flipping, exclusive OR (XOR) the user data and meta data sequence with a random sequence to produce an XORed sequence for storage in the memory as randomized data.

The invention belongs to the technical field of printing, and particularly relates to a printing ink color real-time calibration method and system based on dynamic color gamut mapping, high-frequency online monitoring is achieved by constructing a local color gamut contour and arranging a multispectral sensing array, and the change trend can be captured at the initial stage of color shift; a stable color block recognition and local weighted mapping updating mechanism is combined, an updated lookup table is dynamically generated, and correction is prevented from being triggered by dependence on significant offset; further, according to the response relationship between the color offset direction and the printing parameters, the adjustment of the ink key opening and the printing pressure is implemented in stages, the offset source is inhibited from the physical level, the mapping adjustment is started when the color difference does not exceed the limit, the equipment parameter fine adjustment is synchronously driven, the response time is remarkably shortened, the generation of out-of-tolerance products is reduced, and the product quality is improved. And the real-time performance and the stability of color control are improved.

The invention discloses a real-time adjustment camera focusing method and system, and aims to solve the problem of poor anti-interference capability of an existing focusing mode. The method comprises the following steps: off-line construction of an optimization lookup table and on-line real-time focusing: in an off-line stage, constructing a fixed-focus platform, generating an original lookup table through light spot anti-interference preprocessing and centroid calculation, and then constructing an efficient retrieval data structure to obtain the optimization lookup table; in the online stage, images are collected in real time, the center of mass is obtained through anti-interference processing, compensation is conducted through a preset prediction algorithm during shielding, target reference points are matched through an efficient retrieval data structure, and focusing is triggered according to deviation of the center of mass. The system comprises a hardware module and a software module which cooperatively realize the method. The method improves the anti-interference capability of light spot processing and the matching efficiency of the lookup table, adapts to the interference of illumination fluctuation, shielding and the like of an industrial environment, meets the real-time focusing requirements of high-speed production, is compatible with existing hardware, and is convenient to deploy.

The invention relates to a hardware routing table look-up method based on segmented unified storage. The method comprises the following steps: firstly, acquiring an IPv4 / IPv6 routing prefix, dividing the IPv4 / IPv6 routing prefix into 1-4 address fields according to 32 bits, allocating a unique forward and backward segment identifier for each field, constructing table entries containing the segment identifiers, 32-bit segment data and a next hop, and uniformly storing the table entries into the same TCAM. During table lookup, segmenting an address to be looked up according to the same rule, querying the TCAM from a first segment by taking segment data as a key, and recording a backward segment identifier and a next hop after hit; and if the backward segment identifier is invalid, directly returning to the corresponding next hop, and if the backward segment identifier is valid, continuing query by taking the identifier and the next segment of data as a joint key. And when the table item is not hit or the identification verification fails, selecting the table item with the longest prefix and the valid next hop in the matched section, and returning to the next hop. According to the invention, IPv4 / IPv6 routing table entries can be uniformly stored, the TCAM space utilization rate is improved, and meanwhile, the hardware table look-up efficiency is guaranteed.

The invention provides a satellite-borne synthetic aperture radar in-orbit radiation correction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining echo data of a synthetic aperture radar, and obtaining a first antenna pattern; preprocessing the echo data to obtain preprocessed echo data; performing compression processing on the first antenna pattern to obtain a two-dimensional lookup table; constructing a comprehensive compensation factor according to the two-dimensional lookup table; introducing the comprehensive compensation factor into a pre-constructed first imaging model to obtain a second imaging model; and inputting the preprocessed echo data into the second imaging model to obtain target echo data. According to the invention, the echo data of the synthetic aperture thunder is corrected before imaging, the processing flow is simplified, the consumption of computing resources is reduced, the time consumption is shortened while the precision is improved, and the imaging efficiency is improved.

The invention discloses an image super-resolution edge reconstruction method based on morphology and coverage rate perception. The method comprises the following steps: dividing an image into an edge region and a non-edge region based on depth and brightness information; anti-aliasing edge detail recovery is realized through coverage rate perceived depth mode classification and a table look-up filter; generating direction features by using the brightness gradient and keeping details through a table look-up filter; and combining the reconstruction results of the current frame and the historical frame to ensure the image stability in a dynamic scene. The invention also provides an image super-resolution edge reconstruction system. According to the method provided by the invention, the quality of an object edge and a newly appearing pixel region can be remarkably improved, sawtooth artifacts are effectively inhibited, and relatively high time stability is kept in a dynamic scene, so that the requirements of real-time rendering and visual enhancement application are met.

The invention discloses a calibration method of a polarization focal plane imaging system and an imaging system, relates to the field of photoelectric imaging and remote sensing detection imaging, and solves the problems of low correction efficiency and difficulty in correcting a system with a changed polarization state in the conventional polarization error correction technology. According to the calibration method, a plurality of coding patterns and corresponding polarization modulation matrixes are obtained based on the collected uniform light field and serve as calibration results. The polarization error correction method comprises the steps of obtaining an observation intensity vector based on a target scene; a corresponding polarization modulation matrix is obtained based on the coding pattern according to a coding polarization modulation matrix lookup table, and then a down-sampling Stokes vector after polarization error correction is obtained; and completing the correction of the polarization error through an imaging reconstruction method. A polarization focal plane imaging system comprises an imaging lens, a DMD digital micromirror array coding module, a focal plane DoFP polarization detector and an imaging reconstruction module. The method is suitable for the fields of remote sensing detection, target identification, environment monitoring and the like.

The invention relates to the technical field of optical fiber sensing, in particular to a tunable laser parameter optimization method for fiber bragg grating demodulation, which comprises the following steps of: setting scanning ranges of currents of a left Bragg reflector and a right Bragg reflector, generating a current combination sequence according to arc radius parameters, inputting the current combination into a tunable laser, collecting an output wavelength, and identifying a wavelength tuning channel and a central point thereof; and arranging the center points of the channels in sequence, and generating smooth and continuous channel center lines on the left current dimension and the right current dimension by adopting cubic spline interpolation so as to obtain a continuous and executable tuning path. According to the method, a smooth and continuous channel center line is constructed through a segmented arc scanning path and cubic spline interpolation, and an initial lookup table is formed by combining phase current fine scanning and ordered splicing, so that high-quality wavelength coverage under low sampling amount is realized, and the problems of data redundancy and channel boundary mode hopping in a traditional method are solved.

The invention discloses a humanoid robot path re-planning method and system fused with multi-modal perception, and relates to the technical field of motion control, and the method comprises the steps: uniformly writing a depth camera frame and a laser radar frame into an octree voxel, marking the identification of occupation, normal, main direction and contact type, enumerating candidate contact poses, and carrying out the re-planning of the path of a humanoid robot; outputting a semantic voxel contact field and a reachable lookup table; according to the semantic voxel contact field, extracting a free space connected skeleton and constructing a topological corridor sequence, performing layered mapping on candidate contact poses to form a sustainable contact graph, and outputting a corridor-contact joint planning skeleton; and executing dynamic invasion projection on the corridor-contact combined planning skeleton, and marking unpassable segments and unavailable contact nodes. According to the method, a topological corridor sequence is constructed through a free space connected skeleton, and layered mapping is performed on candidate contact poses to form a sustainable contact diagram, so that cooperative expression of corridor constraint and contact switchability in the same corridor-contact combined planning skeleton is realized.

The invention relates to the technical field of semiconductors, and provides a memory and an operation method thereof, which are used for relieving harm caused by line hammering. The memory comprises a memory array and a control circuit. The control circuit is configured to enter a first mode in response to a command address signal and a mode control signal when a preset condition is met, execute an updating operation on a counting storage unit corresponding to an activated word line at a first moment, execute a pre-charging operation on the activated word line at a second moment, and take counting data as a counting value of row hammer refreshing; or, responding to the command address signal and the mode control signal when the preset condition is not met, entering a second mode, not executing the updating operation on the counting storage unit corresponding to the activated word line, and starting to execute the pre-charging operation on the activated word line at a second moment, and taking an activation count value of an activation word line in the dynamic lookup table as a count value of row hammer refreshing. In this way, balance is achieved between flexible configuration and reliability guarantee, and harm caused by hammering is relieved.

The invention relates to a display device. The display device comprises a display screen and a processor. The display screen is used for displaying images and comprises a plurality of pixels, and one pixel comprises a plurality of sub-pixels used for transmitting light of different colors. The processor is connected with the display screen and the backlight module, and the processor is configured to perform image analysis on the to-be-displayed image, obtain a gray scale average value of the to-be-displayed image, and obtain a corresponding multi-level classification label and a corresponding confidence coefficient; the confidence coefficient is used for representing the accuracy of the multi-level classification labels; determining a corresponding lookup table according to the multi-level classification label and the corresponding confidence coefficient; the lookup table comprises a corresponding relation between the multi-level classification labels and the pixel compensation gains; determining a pixel compensation gain according to the lookup table; calculating the pixel value of each pixel in the display screen according to the gray-scale value of each sub-pixel and the pixel compensation gain; and adjusting the transmittance of each pixel in the display screen based on the pixel value. The pixel compensation effect can be improved, and then the display effect is improved.

The invention relates to the technical field of image processing, and discloses a laser holographic aberration compensation system and method based on deep learning, and the system comprises a first module which determines a phase-to-gray lookup table; the second module is used for calculating to obtain stacking strength; the third module is used for obtaining a Zernike polynomial coefficient through a convolutional neural network regression device; the fourth module is used for calculating to obtain predicted intensity and an aberration estimator; the fifth module is used for outputting two grey-scale maps; and the sixth module outputs two phase diagrams. According to the method, self-supervised training data is constructed through three-plane intensity collection, and an angular spectrum method physical model and Zernike polynomial coefficient low-dimensional representation are combined, so that a convolutional neural network regression device can stably learn aberration mapping, and compensation precision and generalization ability are both considered; double-phase two-frame time division coding is adopted, the output characteristics of a phase type spatial light modulator can be adapted, and cooperative control of aberration compensation and target complex field reproduction is achieved.

The invention discloses a low-delay and high-reliability wireless communication method and system, a medium and a product, and relates to the field of industrial information and data processing.The method comprises the steps that when an industrial control data packet with a priority processing identifier is received, MAC address table look-up operation is executed on the industrial control data packet, and a priority data packet containing a target address identifier is generated; constructing a data transmission path forwarding by bypassing the network bridge according to the target address identifier of the priority data packet; transmitting the priority data packet to a Wi-Fi driving layer through the data transmission path, so as to write the priority data packet to a hardware sending queue, and generating a sending data packet containing a time sequence identifier; determining a periodic transmission time window synchronized with the industrial control period according to the time sequence identifier of the sent data packet; and detecting a channel state index in the transmission time window, generating a retransmission control parameter according to the channel state index, and executing a data packet transmission operation according to the retransmission control parameter. According to the invention, the processing time delay of wireless communication can be reduced.

The invention provides an AD accelerometer acquisition module loop zero offset compensation method based on a table look-up method, and the method comprises the following steps: building a zero offset database, and storing the zero offset data of an AD accelerometer at different temperature points in the database; acquiring parameters of the AD acceleration acquisition module at different temperature points: acquiring the working temperature of the AD acceleration acquisition module in the actual working process of the AD acceleration acquisition module; performing zero offset compensation by using a zero offset data performing matching search on the acquired working temperature and the pre-established zero offset database to obtain a zero offset compensation value of the AD acceleration acquisition module so as to obtain an actual measurement value of the AD acceleration acquisition module; the measurement accuracy of the AD acceleration acquisition module is effectively improved, and the influence of zero offset on the system performance is reduced.

The invention discloses a visibility inversion method and device of a laser radar, equipment and a storage medium, and relates to the technical field of laser, and the method comprises the steps: determining a detection range boundary based on a laser radar voltage value and a preset threshold value; synchronously measuring the visibility in a segmented manner by using a ground single-point measurement visibility meter and a laser radar visibility meter, and performing inversion to obtain a function value; constructing a joint relation model by combining a laser radar equation according to the average error of the function value and the radar measurement signal, and generating a parameter mapping relation lookup table; acquiring signal intensity by means of a near-field visibility measuring device, and determining a target laser radar ratio and an extinction coefficient through the look-up table; and finally, resolving an extinction coefficient profile and inverting a visibility profile by adopting a Fernald inversion algorithm in combination with the laser echo signal path, the target extinction coefficient and the laser radar ratio. The efficiency of laser radar visibility inversion is improved.