27 results about "Discrete transform" patented technology

The invention relates to a DVS vibration signal semantic representation method based on prior knowledge enhancement, and relates to the field of signal processing and artificial intelligence. The method comprises the following steps: (1) constructing a distributed vibration signal text enhancement data set; (2) cross-diffusing the standardized DVS vibration signal; (3) multi-band input alignment is carried out; (4) residual signal enhancement; (5) DVS vibration signal feature extraction; (6) aligning and mapping DVS vibration signal semantic features; and (7) fine adjustment of the DVSLLM model. According to the method, the technical problems that in the field of signal processing, sampling frequencies are not uniform, spatiotemporal features are difficult to extract, semantic information is difficult to represent and the like are solved, and a text enhancement data set is constructed by utilizing Deepseek-V3; a fine-grained interaction model from DVS vibration signals to natural language questions and answers is constructed through cross diffusion standardization, two-dimensional discrete transformation, multi-scale convolution, a CBAM attention mechanism, bilingual sense mapping alignment and DVSLLM model fine tuning, and an intelligent method is provided for road roadbed vibration event health monitoring.

The invention provides a traveling wave head extraction method and system, electronic equipment and a storage medium. The method comprises the following steps: detecting an original traveling wave signal to obtain the original traveling wave signal; calculating the fast Fourier transform of the original traveling wave signal and the fast Fourier transform of the window function introducing the correction factor so as to respectively obtain a discrete form of the original traveling wave signal and a Gaussian function under the optimal frequency; calculating a product of a discrete form of the original traveling wave signal and a Gaussian function under the optimal frequency according to the frequency sampling point, and calculating to obtain discrete S transformation; intercepting two-dimensional diagrams of the traveling wave fault signal with time and amplitude as an x axis and a y axis; on the basis of discrete S transformation of the traveling wave, the amplitude difference of adjacent time nodes in the two-dimensional diagram is adopted, a threshold value is set at the same time, the detection time of a first traveling wave head is obtained, the position of a sudden change point is determined, and the traveling wave head is extracted. According to the method, various fault transient states can be detected, the detection speed is high, the sensitivity is enough, and the influence of noise can be effectively reduced.

The invention discloses an ADS-B spoofing attack detection method based on a discrete cosine patch attention mechanism, and the method comprises the following steps: 1, carrying out the screening and cleaning of a collected ADS-B signal sequence, and reserving continuous flight data with time sequence features for network training; 2, segmenting the continuous flight data into a plurality of time windows according to channels, and extracting frequency domain features from the time windows by using cosine discrete transform; step 3, combining the time window with the frequency domain feature and the time window with the time feature, and inputting the obtained time window with the frequency domain feature and the time domain feature into a self-attention mechanism to obtain an instance level feature; 4, performing normalization on the instance level features by using anti-instance regularization; 5, measuring the deviation between the normalized features and the normal mode features learned in the training stage; and step 6, summarizing the measured deviations, calculating an overall abnormal score of each signal segment, and then classifying the signals by using the abnormal scores.

Embodiments of the present specification provide a method of constructing a processing circuit for a target transformation. The target transform is a discrete transform or an inverse transform thereof that transforms an input coefficient sequence into an output coefficient sequence based on a twiddle factor. The method comprises the following steps: aiming at a to-be-processed K point input coefficient sequence, determining a plurality of alternative decomposition points corresponding to a k-bit coefficient index; and then, starting from a low-order decomposition point, sequentially aiming at each alternative decomposition point, according to a decomposition cost evaluation function, through recursive multi-level index bit decomposition, determining the minimum storage cost under each alternative decomposition point, so as to determine a target decomposition mode of the k-bit coefficient index with the minimum storage cost. The decomposition cost assessment function defines storage costs including a cost of a (n-p) order first transform, a cost of a p order second transform, a local cost for inter-stage twiddle factor multiplication. And according to the target decomposition mode, allocating a corresponding memory to the twiddle factor for forming a processing circuit.

The invention discloses a novel digital hybrid coding method based on a large model. The method comprises the following steps: S1, preprocessing to-be-coded data; s2, performing feature coding on the preprocessed data by adopting a diffusion model driven feature learning method; s3, performing neural network coding on the feature coding data, and dynamically adjusting the coding bit number based on a variable bit rate quantization method; s4, performing adaptive entropy coding on the neural network coding data, and performing probability density transformation based on a normalized flow entropy coding method; s5, discrete transform coding is carried out on entropy coding data, and hierarchical quantization is carried out on different frequency components by adopting a hierarchical sub-block quantization method; and S6, based on the code length distribution and entropy coding parameters of the A3C optimization transformation coding data, extracting a lightweight coding model from the diffusion model by using a knowledge distillation method, and generating final optimization coding data. Through the hybrid coding and dynamic optimization strategy, the data compression efficiency and the coding quality are remarkably improved.

Aspects and implementations disclosed are directed to systems and techniques protecting cryptographic operations that involve computing a discrete transform (DT) of a polynomial by randomizing basis vectors of a finite field, identifying a first auxiliary polynomial and a second auxiliary polynomial, computing the DT of the polynomial using the randomized basis vectors, the DT of the first auxiliary polynomial, and the DT of the second auxiliary polynomial, and computing a plaintext output corresponding to the ciphertext input using the DT of the polynomial. Further protection techniques include masking the polynomial and computing the DT of the polynomial using the DT of the masked polynomial.

The invention discloses a communication method for realizing orthogonal time chirp space modulation based on discrete Fresnel transform, which is suitable for a mobile scene, and is characterized in that a data symbol is modulated on a two-dimensional complex chirp carrier on a delay-Fresnel Doppler plane, and the system performance is improved by using the interference resistance of the chirp wave. The system for realizing orthogonal time chirp spatial modulation based on discrete Fresnel transform provided by the invention has better bit error rate performance under a time-varying channel, especially under a high signal-to-noise ratio condition, is especially suitable for high-speed mobile application, and only increases a small amount of phase rotation complexity compared with OTFS.

Methods, systems, and devices for wireless communications are described. A wireless device such as a user equipment (UE) may receive control signaling from a scheduling device such as a base station which indicates a configuration for decoding control channel information at the UE using a single discrete transform process. In such cases, the configuration may be for decoding control channel information such as downlink control information (DCI) that is time multiplexed with data channel information in one or more symbols of a single carrier waveform. Using the configuration, the UE may decode the control channel information and the data channel information using the discrete transform process.

The present application relates to the technical field of data transmission, and is a multi-path underwater acoustic signal transmission time calculation method based on reinforcement learning, specifically comprising: collecting a wideband M sequence burst signal, and performing discrete transformation and signal pre-enhancement processing on the collected multi-path carrier original data, and performing multi-dimensional feature extraction on waveform regularity features, energy clustering nonlinear mutation features and sound field geometric evolution features; calculating the propagation clock drift rate of the current signal transmission path, cross-medium correcting the propagation clock drift rate based on an environmental feedback model to obtain the arrival deviation of the actual underwater acoustic signal; based on the arrival deviation, dynamically updating the receiving decision window length of the data transmission link, and feeding back to the communication carrier demodulation engine in real time for time step synchronization. The present application solves the problem of poor reliability of sound signal analysis under high dynamics and extreme conditions in the prior art when the hydrological conditions change dramatically for a long time.

The application discloses a kind of digital hybrid coding methods based on large model, including the following steps: S1, pre-processing to be encoded data;S2, feature learning method driven by diffusion model is used to feature coding to pre-processing data;S3, neural network coding is carried out to feature coding data, and based on variable bit rate quantization method dynamically adjusts encoding bit number;S4, adaptive entropy coding is carried out to neural network coding data, based on normalized stream entropy coding method carries out probability density transformation;S5, discrete transform coding is carried out to entropy coding data, and hierarchical sub-block quantization method is used to execute hierarchical quantization to different frequency components;S6, based on A3C optimization transform coding data's code length distribution and entropy coding parameter, extract lightweight coding model from diffusion model using knowledge distillation method, generate final optimization coding data.The application improves data compression efficiency and coding quality significantly by hybrid coding and dynamic optimization strategy.

The invention relates to the technical field of electronic device simulation, and discloses a grid-following converter electromagnetic transient simulation method and system, and the method comprises the steps: building an admittance-based transfer matrix equation in a Laplacian domain based on the resistance-inductance filter data and current control loop data of a grid-following converter, so as to construct an average value model; converting the transfer matrix equation from a Laplacian domain to a discrete domain based on a trapezoidal integral rule to obtain a discretized admittance equation of the following grid type converter, and performing reverse discrete transformation on the discretized admittance equation to obtain a time domain discretized admittance equation of the following grid type converter; converting the average value model into a double-impedance form to obtain a double-impedance equation, and obtaining an equivalent Thevenin impedance matrix of the following grid type converter according to the double-impedance equation and the time domain discretization admittance equation; and according to the equivalent Thevenin impedance matrix expression, electromagnetic transient simulation of the grid-following converter is realized. According to the method, the accuracy of a simulation result is improved.

The invention discloses a method for suppressing peak-to-average ratio of a precoded DFT spread spectrum OTFS system, and relates to the technical field of wireless communication. The method comprises the following steps: step 1, performing precoding matrix processing on modulated input data, and obtaining precoded data by using the coefficients of the corresponding precoding matrix as the least square solution; step 2, performing DFT spread spectrum processing on the precoded data to obtain spread spectrum data; step 3, performing subcarrier mapping on the spread spectrum data, and distributing the subcarrier mapped data to a two-dimensional grid to obtain DD domain data; step 4, performing inverse discrete Zak transform on the DD domain data to obtain a time domain signal. The invention effectively reduces the peak-to-average power ratio of the system through corresponding design, thereby reducing system complexity and cost.

The present invention relates to the technical field of electronic device simulation, and discloses a method and system for electromagnetic transient simulation of a grid-type converter. Based on the resistance and inductance filter data and current control loop data of the grid-type converter, an admittance-based transfer matrix equation is established in the Laplace domain to construct an average value model; based on the trapezoidal integration rule, the transfer matrix equation is converted from the Laplace domain to the discrete domain to obtain a discretized admittance equation of the grid-type converter, and the discretized admittance equation is inversely discretized to obtain a time-domain discretized admittance equation of the grid-type converter; the average value model is converted into a dual-impedance form to obtain a dual-impedance equation, and based on the dual-impedance equation and the time-domain discretized admittance equation, an equivalent Thevenin impedance matrix of the grid-type converter is obtained; and based on the equivalent Thevenin impedance matrix expression, electromagnetic transient simulation of the grid-type converter is realized. The method of the present application improves the accuracy of the simulation results.

The invention discloses a water area oil spill detection method and a water area oil spill detection device. The method comprises the following steps: collecting a reflected light signal reflected by a target water area based on an incident detection signal; generating a digital signal time sequence matched with the spectral information according to the spectral information of the reflected light signal; carrying out discrete transformation on the digital signal time sequence by utilizing a wavelet function to obtain a coefficient matrix, carrying out noise reduction processing to obtain a noise reduction matrix, and reconstructing and generating a noise reduction signal time sequence according to the noise reduction matrix; separating a background signal corresponding to the target water area and a target signal corresponding to a surface substance of the target water area from the noise reduction signal time sequence; and identifying the surface substance type of the target water area according to the background signal and the target signal to determine the oil spill information of the target water area. The method comprises the following steps of: discretely transforming a digital signal time sequence into a coefficient matrix by using a wavelet function, reducing noise of the coefficient matrix, and reducing to obtain a smooth, clear and low-noise noise reduction signal time sequence, so as to accurately identify the oil spill condition by using the noise reduction signal time sequence.

The invention discloses a thermal superstructure manufacturing method, device and system based on discrete transformation thermology, and belongs to the technical field of heat conduction and heat flow regulation and control. The method comprises the steps of performing discrete simplex mesh generation on a design domain to obtain a mesh, and appointing a hard constraint for an internal function boundary according to a regulation and control function; piecewise linear mapping is defined on the grid, optimization solving is carried out through two stages, the first stage punishes a negative Jacobian determinant to eliminate folding to obtain bijection mapping, and the second stage minimizes conformal distortion to suppress anisotropy; and deducing a thermal conductivity tensor field of a physical domain by utilizing a Jacobian matrix J, and finally carrying out microstructure matching filling and adopting additive manufacturing. The problems of folding and extreme parameters easily occurring in complex geometric transformation thermal design are solved, efficient thermal management and omni-directional thermal regulation and control under any complex shape can be achieved, and the experimental verification error is smaller than 5%.

The application discloses a lightning disturbance discrimination method for flexible HVDC transmission line based on instantaneous frequency characteristics, and specifically comprises the following steps: step 1, extracting voltage and current data in a time window from 1ms before protection starting to 1.0ms after protection starting, and obtaining line mode voltage forward and reverse traveling waves; step 2, performing discrete S transform on the line mode voltage reverse traveling wave obtained in step 1 to obtain a mode time-frequency matrix, and extracting an amplitude-frequency curve at a fault occurrence moment; step 3, obtaining a maximum value number Q of the instantaneous amplitude-frequency curve, if Q=1, it is lightning disturbance, and the discrimination ends; if Q>1, it is a fault, and step 4 is entered; step 4, defining a frequency of a point with the maximum amplitude in the amplitude-frequency curve as a main frequency F1, comparing the main frequency F1 with a threshold value F set , and judging a fault type according to a comparison result. The discrimination method provided by the application is simple in calculation, and can accurately judge lightning disturbance and lightning fault.

The application discloses a point cloud 3D target detection method and model based on a discrete Transform, and the method comprises the following steps: S1, collecting point cloud data frames of objects in real time; S2, performing point cloud voxelization on the point cloud data frames to obtain initial voxels; S3, extracting voxel features containing dynamic information and static information from the initial voxels through a 3D backbone network based on a discrete Transform; S4, mapping the voxel features finally output in the step S3 to a BEV space to obtain corresponding 2D BEV features; and S5, sending the 2D BEV features to a 3D target detector through a Neck network to perform 3D target detection, and obtaining object attribute information of objects in a 3D space.

Embodiments of the present specification provide a method for constructing a processing circuit for a target transform. The target transform is a discrete transform or its inverse transform that transforms an input coefficient sequence into an output coefficient sequence based on a rotation factor. The method includes, for a K-point input coefficient sequence to be processed, determining a plurality of candidate decomposition points corresponding to a k-bit coefficient index. Then, starting from a low-bit decomposition point, for each candidate decomposition point, determining the minimum storage cost under each candidate decomposition point according to a decomposition cost evaluation function through recursive index bit number decomposition for several levels, so as to determine a target decomposition mode of the k-bit coefficient index with the minimum storage cost. The decomposition cost evaluation function limits the storage cost to include the cost of a (n-p)th order first transform, the cost of a pth order second transform, and the local cost for inter-level rotation factor multiplication. According to the target decomposition mode, a corresponding memory for the rotation factor is allocated to form a processing circuit.

The application discloses a power quality disturbance feature extraction method and system based on segmented multi-resolution S transform, relates to the technical field of power quality monitoring, and aims to solve the problem that traditional time-frequency analysis methods are difficult to accurately capture power quality disturbance features in different frequency bands due to fixed resolution. The application comprises establishing a mathematical model of power quality disturbance signals, including various single and composite disturbance models; discretizing the signals based on continuous S transform and applying one-dimensional discrete S transform; dividing the frequency bands into three segments, i.e., low, medium and high, according to disturbance frequency characteristics; introducing a Gaussian window function with different adjustment factors into each frequency band to adaptively adjust the time-frequency resolution; combining S transform with the window function to obtain a discrete expression of segmented multi-resolution S transform; and extracting disturbance feature parameters based on the time-frequency matrix obtained through transformation. The technical scheme realizes adaptive optimization of time-frequency resolution, and improves the extraction accuracy and reliability of complex power quality disturbance features.

The invention discloses a pre-coded DFT spread spectrum OTFS system peak-to-average power ratio suppression method, which relates to the technical field of wireless communication, and comprises the following steps of: 1, performing pre-coding matrix processing on modulation input data, and obtaining pre-coded data by taking a coefficient of a corresponding pre-coding matrix as a least square solution; 2, performing DFT (Discrete Fourier Transform) spread spectrum processing on the pre-coded data to obtain spread spectrum data; step 3, carrying out subcarrier mapping on the data after the spectrum spreading, and distributing the data after the subcarrier mapping to a # imgabs0 # two-dimensional grid to obtain DD domain data; 4, performing inverse discrete Zak transformation on the DD domain data to obtain a time domain signal; through the corresponding design, the peak-to-average power ratio of the system is effectively reduced, and the complexity and the cost of the system are reduced.

The invention discloses an energy analysis method and device for full-node collection of environmental noise and a storage medium, and relates to the technical field of geophysical exploration, and the method is characterized in that the method comprises the steps: obtaining full-node collection data; sampling the node data according to preset slicing time to obtain a sampling sequence of the node data; performing discrete Hilbert transformation on the sampling sequence to obtain an analysis signal corresponding to the node data; calculating noise energy according to the analytic signal; calculating noise energy of data of each node in sequence to obtain noise energy of all nodes in the slicing time; and displaying the noise energy of all nodes through a three-dimensional space to obtain an energy time slice of the slice time. Through the analysis method, the environmental noise energy can be accurately calculated, the intensity of the energy of the environmental noise collected at a node at a certain moment can be visually displayed in real time, guidance is provided for blasting at a construction site, and the quality of seismic data collected at all nodes is improved.

The invention provides an SOTFS modulation V2V communication method based on bionic cluster resonance and pheromone memory, and relates to the technical field of wireless communication, and the method comprises the steps: receiving an SOTFS signal of a neighbor vehicle, and estimating a delay-Doppler channel response and a Doppler mass center; calculating a resonance score reflecting link quality and motion consistency based on the information; updating a pheromone memory for evaluating the long-term stability of the link according to the score; based on the resonance score and pheromone memory, determining an optimal subcarrier resource mapping scheme and feeding back the optimal subcarrier resource mapping scheme to the transmitting end; according to the scheme, a transmitting end arranges symbols embedded with digital pheromone signatures in a delay-Doppler domain, and generates self-adaptive SOTFS signals through inverse discrete ZAK transform modulation for transmission. Through deep fusion of bionic cluster intelligence and delay-Doppler domain signal processing, distributed, high-reliability and low-delay inter-vehicle cooperative communication in a high-dynamic vehicle-mounted environment is realized.

Embodiments of the present specification provide a method for storing or reading a rotation factor in a target transform. The target transform is a discrete transform or its inverse transform that transforms an input coefficient sequence into an output coefficient sequence based on a rotation factor. The method includes determining a target rotation factor to be stored, whose power is a result of a multiplication of a first factor of a first number of bits and a second factor of a second number of bits modulo a target value; and storing the target rotation factor by a two-level storage manner, the two-level storage manner including storing the target rotation factor at a first address in a rotation factor storage, wherein the rotation factor storage includes a first number of first storage units, the first number being a number of different modulo multiplication results generated by the first factor of the first number of bits and the second factor of the second number of bits; and storing an index value pointing to the first address at a second address in an index storage, wherein the index storage includes a target value of second storage units, the second address corresponding to the power of the target rotation factor; and the target value is greater than the first number.

The present invention provides an active maneuvering distance measurement method in a millimeter wave radar, which includes: based on the millimeter wave radar antenna, transmitting a frequency modulation signal within a target frequency range in the target direction, and receiving an echo signal of the frequency modulation signal; determining a difference frequency signal based on the frequency modulation signal and the echo signal, and determining the peak position of the difference frequency signal based on discrete transformation; controlling the millimeter wave radar antenna to move toward the peak position, and continuously measuring until the peak value jumps, the millimeter wave radar antenna stops moving and records the current measured distance; based on the movement distance of the millimeter wave radar antenna and the measured distance, the target distance between the measured object and the millimeter wave rangefinder is obtained. The distance between the measured object and the millimeter wave rangefinder is detected by the millimeter radar wave, and the frequency resolution of the discrete transformation of the difference frequency signal is improved by actively moving the millimeter wave radar antenna during the ranging process, so that the measurement result is more accurate, and the measurement result is ensured to be accurate and reliable.

The present invention provides a traveling wave head extraction method, system, electronic device and storage medium, the method includes detecting an original traveling wave signal to obtain an original traveling wave signal; calculating the fast Fourier transform of the original traveling wave signal and the fast Fourier transform of the window function with a correction factor introduced to obtain the discrete form of the original traveling wave signal and the Gaussian function at the optimal frequency respectively; calculating the product of the discrete form of the original traveling wave signal and the Gaussian function at the optimal frequency according to the frequency sampling point, and calculating the discrete S transform; intercepting the traveling wave fault signal with time and amplitude as the x-axis and y-axis of the two-dimensional graph; based on the traveling wave undergoing discrete S transform, the amplitude difference of adjacent time nodes in the two-dimensional graph is used to simultaneously set the threshold to obtain the detection time of the first traveling wave head, so as to determine the mutation point position, and extract the traveling wave head. The present invention can detect various fault transients with very fast detection speed and sufficient sensitivity, and can also effectively reduce the influence of noise.

Aspects and implementations disclosed are directed to systems and techniques protecting cryptographic operations that involve computing a discrete transform (DT) of a polynomial by randomizing basis vectors of a finite field, identifying a first auxiliary polynomial and a second auxiliary polynomial, computing the DT of the polynomial using the randomized basis vectors, the DT of the first auxiliary polynomial, and the DT of the second auxiliary polynomial, and computing a plaintext output corresponding to the ciphertext input using the DT of the polynomial. Further protection techniques include masking the polynomial and computing the DT of the polynomial using the DT of the masked polynomial.

The invention discloses an electric energy quality disturbance feature extraction method and system based on segmented multi-resolution S transformation, relates to the technical field of electric energy quality monitoring, and aims to solve the problem that electric energy quality disturbance features of different frequency bands are difficult to accurately capture due to fixed resolution in a traditional time-frequency analysis method. The method comprises the following steps: establishing mathematical models of power quality disturbance signals, wherein the mathematical models comprise multiple single and composite disturbance models; discretizing the signal based on continuous S-transform and applying one-dimensional discrete S-transform; dividing a frequency band into a low section, a middle section and a high section according to disturbance frequency characteristics; gaussian window functions containing different adjustment factors are respectively introduced into each frequency band so as to adaptively adjust the time-frequency resolution; combining S transformation with the window function to obtain a discrete expression of segmented multi-resolution S transformation; and extracting disturbance characteristic parameters based on the transformed time-frequency matrix. According to the technical scheme, self-adaptive optimization of the time-frequency resolution is realized, and the extraction precision and reliability of complex power quality disturbance characteristics are improved.