85 results about "Zero padding" patented technology

The invention provides an inhaul cable self-vibration fundamental frequency automatic identification method and system based on a harmonic product spectrum, and relates to the technical field of structure monitoring, and the method comprises the steps: receiving vibration acceleration data of an inhaul cable, carrying out the windowing processing of the vibration acceleration data through employing a Hanning window, and generating a windowed signal; carrying out fast Fourier transform on the windowed signal, and improving the frequency resolution by implementing zero filling to obtain an initial frequency spectrum; smoothing the initial frequency spectrum to form a smooth frequency spectrum; performing passband clipping on the smooth frequency spectrum to zero the passband outer amplitude to form a clipped frequency spectrum; calculating the signal-to-noise ratio of the frequency spectrum after cutting, and comparing the signal-to-noise ratio with a preset threshold value; if the signal-to-noise ratio is lower than a preset threshold value, judging that the signal quality is unqualified and terminating the processing flow; and if the signal-to-noise ratio is equal to or higher than the preset threshold value, continuing the normal processing flow. According to the invention, automatic and high-precision identification of the self-vibration fundamental frequency of the inhaul cable can be realized.

The invention provides a sensor data recovery method and system based on mask perception space-time modeling, and belongs to the technical field of Internet of Things and intelligent sensing data processing. The method comprises the following steps: modeling a missing position into a trainable potential vector representation through an adaptive missing representation module, and avoiding noise introduced by traditional zero filling or mean filling; a missing perception space-time decoding module is adopted, and a dynamic weight distribution mechanism of mask constraint is combined in the decoding process, so that information is effectively prevented from being excessively smooth; designing a space-time dual-channel feature aggregation unit, and capturing spatial dependence and time sequence dependence between the sensors at the same time; and finally realizing accurate completion of a large-scale space-time sensor matrix through an output recovery unit. According to the method, the accuracy and robustness of sensor data restoration can be remarkably improved, the reliability of subsequent monitoring, prediction and anomaly detection is enhanced, and the method has wide engineering application value.

The application belongs to the field of digital signal processing, and particularly relates to a linear frequency modulation signal parameter estimation method under a low signal-to-noise ratio condition, which comprises the following steps: collecting signals and discretizing the signals; dividing the discrete sequence into sub-signals by framing, performing an FFT operation after a windowing and zero padding operation, and obtaining a frame sequence vector; searching for a maximum spectral peak of the spectrum of each frame of signals, and correcting the maximum spectral peak by using a cubic spline interpolation method to obtain a corresponding frequency; performing an equal-step distance and successive rotation scanning of two groups of vectors in a plane; synchronously projecting frequency vectors at different rotation angles, dividing a frequency band, and recording a frequency quantity statistical result; eliminating a trend item by using a median filtering, obtaining a maximum value of a statistical quantity, and then obtaining a preliminary estimation value of a parameter; and obtaining a final estimation result of an initial frequency and a frequency modulation rate of the linear frequency modulation signal by using a least square method fitting. The application overcomes the problems of great difficulty, low precision and complex calculation of the linear frequency modulation signal parameter estimation under the low signal-to-noise ratio condition in the prior art, and has good engineering practicability.

An intrusion detection method performed by an intrusion detection system using CRC includes receiving in-vehicle CAN data in units of frame, generating first feature information by extracting a CAN ID from the in-vehicle CAN data in units of frame and performing zero padding, generating second feature information by extracting a CRC field from the in-vehicle CAN data in units of frame and performing the zero padding, training a learning model by setting the first feature information and the second feature information as input data and labeling, as output data, whether the CAN data is attack data or normal data, and detecting whether the CAN data is normal data or attack data by extracting a CAN ID and a CRC field from the received in-vehicle CAN data when training of the learning model is completed and inputting the CAN ID and the CRC field to the learning model.

The present invention provides a generalized constant modulus signal generation method, device and communication equipment. The method comprises: obtaining a first matrix according to a single-user signal or a multi-user signal, the first matrix including M rows and N columns, where M and N are integers greater than 1; subjecting the M signals in each column to a first transform domain processing to obtain a first sequence, the first sequence including M signals; repeating the M signals in the first sequence J times and then performing point multiplication with a filter of length M×J to obtain a second sequence of length M×J, where J is an oversampling factor and J is an integer greater than 1; subjecting the second sequence to a second transform domain processing and zero padding processing to obtain a third sequence of length M×N, and cyclically shifting the third sequence to obtain the first signal; accumulating the first signals of all columns to obtain a second signal, and performing phase modulation on the second signal to obtain a generalized constant modulus signal, the generalized constant modulus signal occupying M symbols in the time domain and N subcarriers in the frequency domain.

The invention provides a channel estimation method based on a double-domain weighting-noise threshold, which comprises the following steps of: 1, time-frequency domain transformation: after receiving signals of a receiving end are subjected to time-frequency synchronization processing, extracting a pilot frequency sequence pilot, carrying out N-point FFT (Fast Fourier Transform) on the receiving signals, and converting the receiving signals to a frequency domain to obtain PILOT; performing N-point FFT (Fast Fourier Transform) on the time domain local pilot frequency sequence pilot to generate a frequency domain local pilot frequency PILOT; 2, calculating a frequency domain weighting coefficient: calculating the frequency domain weighting coefficient Coef according to the local pilot frequency PILOT and the current linear signal-to-noise ratio sn; step 3, channel estimation calculation: carrying out signal-to-noise ratio self-adaptive adjustment on the received signal of each frequency point through the operation; 4, inverse discrete Fourier transform: performing inverse Fourier transform on the channel estimation H after frequency domain weighting, and converting a frequency domain signal into a time domain signal to obtain h; step 5, extracting useful information: calculating and determining an optimal symbol length parameter L according to the maximum time delay extension of the system, performing optimization truncation on time domain data, retaining original values of the first L sampling points, endowing a zero value to subsequent sampling data exceeding the L point, and finally obtaining an optimized time domain result hL; 6, threshold judgment: within the range of the effective symbol length L, calculating a self-adaptive noise judgment threshold, implementing intelligent noise filtering processing on the truncated L-point data by using the threshold, eliminating a noise component through the threshold, and finally outputting a purified result hLR; and 7, zero padding: setting the length of the data block needing to be balanced as M, and setting the point number of channel estimation as N. When Mgt; when M is larger than N, time domain zero padding needs to be carried out on the hLR, the number of zero padding is M-N, and hLRZ is obtained; and 8, DFT: carrying out Fourier transform on the hLRZ to obtain a final complete channel estimation HLRZ.

Embodiments disclosed herein are directed to communicating time-critical ultra-low latency (ULL) data. An access point station (AP) communicates time-critical ULL data using aggregated MAC Protocol Data Unit (A-MPDU) preemption. When time-critical ULL data for a second associated STA (STA2) becomes available at a medium access control (MAC) layer of the AP during transmission of a physical layer protocol data unit (PPDU) to a first associate station (STA1), the AP may encode the time-critical ULL data in a new A-MPDU subframe for insertion before one of the A-MPDU subframes of the PPDU that has not yet been transmitted. The new A-MPDU subframe may be encoded to include zero-padding to set a size of the new A-MPDU subframe equal to a size of the A-MPDU subframe that has been preempted. The A-MPDU subframes 606 for STA1 may be encoded include a MAC address of the STA1 and the new A-MPDU subframe 608 may be encoded include a MAC address of the STA2.

A chirp multi-carrier transmission method based on windowing and truncation belongs to the field of wireless communication technology. The purpose of the present invention is to achieve efficient spectrum utilization while improving the bit error rate performance. The present invention first performs digital modulation and serial-to-parallel conversion on a random bit stream sequence, then performs a discrete Fresnel inverse transform on the conversion result, and after the discrete Fresnel inverse transform result passes through a time domain truncation window, the intercepted signal is converted into parallel and serial, and the parallel-to-serial conversion result is then sent through a channel. The receiving end performs serial-to-parallel conversion, zero padding, discrete Fresnel transformation, and inter-subcarrier interference elimination on the received signal, and then digitally demodulates the signal after interference elimination to restore the original bit stream data. The present invention saves transmission time and improves transmission efficiency by performing windowing and truncation in the time domain, and the bit error rate performance is better than that of existing systems. The method of the present invention can be applied to the field of wireless communication technology.

The invention provides a bee colony unmanned aerial vehicle communication system based on an enhanced OTFS frame and a hybrid topology, and relates to the technical field of unmanned aerial vehicle cluster wireless communication, and the system comprises autonomous wireless communication modules which are deployed in all unmanned aerial vehicles and are used for generating and processing orthogonal time-frequency space OTFS modulation signals; a star-mesh-linear IP hybrid topology network dynamically constructed by unmanned aerial vehicle nodes supports autonomous optimization of a communication path according to channel quality; embedding an enhanced OTFS frame structure of reduced-order cyclic prefix (RCP) and reduced-order zero filling (RZP) pilot frequency; a ground control station GSC integrating an OTFS module and a remote controller RC establish a low-delay link through UDP multicast; the invention relates to a RadCom joint module with integrated radar sensing and communication functions. According to the invention, a single-point fault risk is eliminated through decentration topology, inter-symbol and inter-carrier interference caused by multipath interference is effectively suppressed by an enhanced OTFS frame, the anti-interference capability of a complex environment is improved by a dual-band frequency hopping spread spectrum technology, and target detection and data transmission millisecond-level synchronization are realized by a RadCom module.

This disclosure relates to precoding for polar codes and provides a method comprising: determining a first precoding matrix, the size of which is determined based on the message size of a message to be encoded by polar coding and the codeword size of the polar-coded codeword; determining a second precoding matrix based on the first precoding matrix and the information positions of a zero-padding vector; and performing precoding on the message based on the second precoding matrix to generate an output vector.

Methods and apparatus for communicating zero-padded signals related to zero padding of a transmission symbol that is to be transmitted in a wireless communication network. Signaling indicative of such zero padding is communicated between communication devices, and a zero-padded transmission symbol to which the zero padding has been applied, as well as a cyclic prefix preceding the zero-padded transmission symbol, are transmitted by a transmitting device and received by a receiving device. In some embodiments, the zero padding includes both head zero padding at a head of the transmission symbol and tail zero padding at a tail of the transmission symbol. Zero padding may also be applied to a reference signal sequence upon which a reference signal for channel estimation is based.

The present invention discloses a network traffic prediction method based on local downsampling and sparse frequency grouping, the method comprising: sequentially dividing an input sequence into P regions; performing downsampling operations within the regions; performing real sequence fast Fourier transform on the downsampling results; performing frequency truncation operations on the results; performing sparse frequency grouping and sparse frequency mixing operations; performing cross-region frequency point prediction; performing zero padding and inverse real sequence fast Fourier transform irFFT; and performing sequence rearrangement operations to obtain an output sequence.

The invention discloses a target harmonic signal complex frequency estimation method based on frequency domain least square, and belongs to the technical field of signal processing, and the method comprises the steps: obtaining a geophysical observation time sequence containing a target harmonic signal; windowing Fourier transform is adopted to obtain an initial power spectrum, and a spectrum peak of the target harmonic signal is identified; selecting power spectrum values at a plurality of frequency points near the target spectrum peak, and obtaining complex frequency parameters of the target harmonic signal by using linear least square fitting; zero-filling expansion is adopted to increase effective frequency points of a power spectrum, and the estimation precision of complex frequency parameters is improved through multiple least squares. According to the method, Fourier transform and linear least square fitting are combined, high-precision estimation of the complex frequency of the target harmonic signal can be achieved, the method is simple, efficient and easy to implement, and the method is successfully applied to scenes such as earth normal mode frequency extraction and ocean partial tide parameter inversion and can be expanded to any time sequence signal analysis such as communication and biomedicine.

This application belongs to the field of interconnection network reliability and fault diagnosis technology, and discloses a method for intermittent fault diagnosis of low-bandwidth long interconnection networks based on graph attention mechanism. Targeting the hierarchical recursive structure and high connectivity of the network, under the PMC fault diagnosis model, a multi-round testing strategy is used to obtain test symptoms within the node's neighborhood. A feature vector is constructed for each node using local statistical feature extraction methods, and preprocessed using zero-padding and noise enhancement techniques. Finally, a graph attention network model is constructed, and the importance weights of neighboring node test results are dynamically learned using the attention mechanism to achieve accurate diagnosis of node fault states in the network. This application leverages the powerful local information aggregation capability of graph attention networks to overcome the diagnostic limitations of traditional algorithms, maintaining high diagnostic accuracy and robustness even with high fault rates, incomplete test symptoms, and large network sizes.

The present invention discloses a distributed OFDM base station cooperative sensing sequence design method, comprising the following steps: setting parameters required for the problem; generating a signal sequence, a Fourier transform matrix, a frequency domain subcarrier selection matrix, and a zero padding matrix; generating a sidelobe level coefficient matrix and an autocorrelation ratio coefficient matrix; using an alternating iterative algorithm to obtain the optimal solution to the problem, solving the waveform optimal solution and limiting the peak-to-average power ratio, updating the matched filter and performing energy limitation, updating the frequency domain waveform, updating the dual variable, and calculating various residuals, objective functions, and waveform autocorrelation characteristics. After the iteration, the optimal waveform sequence is output, and various information such as residuals, objective functions, and autocorrelation characteristics are calculated. The present invention uses an alternating iterative algorithm to obtain the optimal solution to the problem, thereby maximally suppressing the autocorrelation sidelobe characteristics of multi-station waveforms and reducing interference of clutter on the communication system.

The application discloses a kind of uniform missing linear frequency modulation signal fast iterative threshold deconvolution reconstruction method, solve the matrix singularity problem that sparse reconstruction algorithm appears in pseudo-inverse process in the reconstruction of uniform missing linear frequency modulation signal, the present application is based on fast iterative threshold algorithm, according to the pattern of uniform missing, deduce the point spread function due to signal time domain missing causes spectrum aliasing, then utilize point spread function for the spectrum of zero padding and dechirp processing after missing linear frequency modulation signal by fast iterative threshold algorithm carries out complex deconvolution, to recover the spectrum of signal in frequency domain, in turn reconstruct complete signal.The present application realizes complex deconvolution by fast iterative threshold algorithm, need not carry out matrix pseudo-inverse operation, to avoid matrix singularity problem.

The application relates to an image wireless transmission method based on channel semantic importance, an airborne encoder processes original images collected by a UAV and compresses the original images into semantic features; a feature channel evaluation module evaluates the importance of each feature channel of the semantic features to respectively generate importance weights of the feature channels; a feature channel selection module selects a plurality of most important feature channels from the semantic features based on the importance weights, a wireless channel signal-to-noise ratio, communication resource constraints and server computing energy consumption constraints to construct a transmission feature vector, so that the transmission data amount can be effectively reduced and the communication efficiency can be improved while the accuracy of task execution is ensured, thereby reducing the delay and energy consumption; an edge server receives the transmission feature vector and performs zero padding to generate a completed semantic feature, and the completed semantic feature is input into an image decoder to obtain a reconstructed image, so that the accuracy of task execution can be further ensured.

The present application relates to a kind of wide frequency power grid harmonic fast extraction method based on multiscale collaborative measurement, belong to the field of power system harmonic analysis, including: construct multi-window parallel data buffer, utilize smooth transition function dynamically calculate the confidence weight of each window;Adopt adaptive window function strategy to load rectangular window and Blackman window respectively, and preliminary obtain full-band spectrum parameter in combination with zero padding FFT, introduce phase alignment algorithm based on time zero point to eliminate the phase drift caused by non-synchronous sampling;For random interference, use stability filtering mechanism to carry out effectiveness check.The present application realizes the unity of wide frequency harmonic transient fast locking and steady-state high-precision measurement by organically combining multi-window parallel processing with S-shaped smooth transition mechanism, significantly improves the dynamic adaptability and anti-noise reliability of measurement, and provides reliable technical foundation for new type power system wide frequency oscillation monitoring and control.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive one or more downlink messages and generate one or two bits of hybrid automatic repeat request-acknowledgment (HARQ-ACK) information. The UE may generate an uplink control information (UCI) message by either transmitting a single HARQ bit (to which a receiving network entity adds an implicit zero-padding bit), or by appending one or more explicit zero-padding bits to the HARQ information to generate a zero-padded HARQ bit sequence. In some aspects, the payload size of the zero-padded HARQ bit sequence may include two or three bits. The UE may then transmit the UCI message in accordance with a sequence cyclic shift value (or other encoding scheme) corresponding to the payload size of the zero-padded HARQ bit sequence. The receiving network entity may then receive and interpret the implicitly zero-padded HARQ information or the explicitly zero-padded HARQ information.

The application provides a wireless channel modeling method and device, the method comprising: inputting noise data to a generator of a target model, a linear block mapping a latent vector of the noise data to a higher-dimensional feature space, a convolution transpose block up-sampling the abstract high-dimensional features to make them more specific, the specific high-dimensional features being standardized in a batch layer to adjust the mean and variance of the features; the high-dimensional features being compressed by global spatial information, re-labeled by feature channels and re-weighted by a channel attention module to obtain a feature re-weighting result, and finally generating wireless channel data by an activation layer; inputting the generated wireless channel data and real channel data to a discriminator of the target model, expanding the input data in a zero padding block, extracting features by a convolution block and discriminating by a linear block to output a discrimination result, updating the weight parameters of the generator according to the discrimination result, and training the generator to generate wireless channel data similar to the real channel data. The application realizes effective channel modeling.

The invention provides a large-point FFT operation method and device, a chip, equipment, a storage medium and a program product, and the method comprises the steps: carrying out the zero padding operation of an obtained original signal sequence according to a preset spectrum resolution requirement, and obtaining a to-be-transformed sequence; calculating the length ratio of the original signal sequence in the sequence to be transformed; if the length ratio is not lower than a set threshold value, converting the sequence to be converted into a frequency spectrum sequence by adopting a mode of performing two rounds of FFT operation after sequence decomposition according to a Cooley-Tukey FFT algorithm; and if the length ratio is lower than a set threshold value, converting the sequence to be converted into a frequency spectrum sequence by adopting a mode of performing a round of FFT operation after sequence decomposition according to a simplified decomposition method. For the condition that the length proportion of the original signal sequence in the to-be-transformed sequence is lower than the set threshold value, only one round of FFT operation needs to be executed when the simplified decomposition method is adopted, one round of FFT operation is directly omitted compared with a Cooley-Tukey FFT algorithm, calculation complexity is reduced, calculation redundancy is reduced, and calculation resources can be greatly saved.

The present disclosure provides an electronic device, including: an input unit configured to obtain a sequence to be compressed, wherein the sequence to be compressed has Q time-domain symbol elements, and Q is an integer greater than zero; a processing unit configured to perform a zero-padding operation on the sequence to be compressed according to at least a part of a compression factor to determine a zero-embedded sequence, perform a discrete Fourier transform spreading operation according to the zero-embedded sequence to determine a spread sequence, and perform at least one of a data deletion operation and a data superimposition operation based on the spread sequence to determine a compressed sequence, wherein the compressed sequence has M frequency-domain symbols, M is an integer greater than zero, and M is less than or equal to Q.

The invention provides a 4CPFSK modulation method applied to a DMR system, and the method comprises the steps: processing an input sequence through employing a five-symbol sliding window, and mapping a non-zero symbol in the window into a digital index according to a preset rule; selecting a predefined compensation value according to a zero padding structure in the window, and calculating a table look-up address in combination with a symbol position weight; querying a pre-stored cosine value and a pre-stored sine value through the address; and recursively generating a current 4CPFSK signal by using the cosine value, the sine value and the in-phase signal and the orthogonal signal at the previous moment.

The invention provides a GPU storage and calculation integrated pre-filling decoding separation large model reasoning acceleration method and system, and the method comprises the steps: obtaining an original text, carrying out the operation of the original text through a GPU, and generating a corresponding key value cache and a query vector; based on a storage and calculation integrated memory, respectively reading the key vector, the numerical vector and the query vector from the key value cache for calculation, and generating a context vector; the method comprises the following steps: acquiring a plurality of request sequences, performing dynamic scheduling based on a preset time window or a request quantity threshold value, and sorting according to sequence lengths; carrying out zero-filling packaging on the input sequence by utilizing a GPU (Graphic Processing Unit) and executing pre-filling calculation to obtain an initial key value cache and a query vector; and respectively conveying the key value cache and the query vector to a storage area and a ready queue.

A flexible spectral efficiency chirp multi-carrier signal generation method based on zero insertion and zero padding belongs to the technical field of chirp multi-carrier signal generation. The present invention solves the problem that the spectrum efficiency of existing non-orthogonal chirp multi-carrier multiplexing technology is limited, as well as the applicability and versatility of the existing non-orthogonal chirp multi-carrier multiplexing system structure are limited. The transmitting and receiving ends of the present invention add zero insertion and zero padding operations after the first phase rotation. By controlling the number of zero insertion and zero padding, the number of points of DFT and IDFT can be adjusted to adjust the bandwidth compression factor in the chirp multi-carrier multiplexing system, thereby providing flexible and variable spectrum efficiency, solving the problem of limited spectrum efficiency range caused by the number of operation points must be an integer and a power of 2 in the chirp multi-carrier signal generation process, further expanding the structural applicability of the chirp multi-carrier multiplexing system, and having greater versatility. The method of the present invention can be applied to chirp multi-carrier signal generation.

The invention relates to an image wireless transmission method based on channel semantic importance. An airborne encoder processes an original image collected by an unmanned aerial vehicle and compresses the original image into semantic features; a feature channel evaluation module evaluates the importance of each feature channel of the semantic features to generate the importance weight of each feature channel; a feature channel selection module selects a plurality of most important feature channels from the semantic features to construct a transmission feature vector based on the importance weight, the wireless channel signal-to-noise ratio, the communication resource constraint and the server calculation energy consumption constraint; therefore, the transmission data volume can be effectively reduced and the communication efficiency can be improved while the task execution precision is ensured, so that the delay and the energy consumption are reduced; and the edge server receives the transmission feature vector and performs zero filling operation to generate a complemented semantic feature, and inputs the complemented semantic feature into an image decoder to obtain a reconstructed image, so that the task execution precision can be further ensured.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure provides a method performed by a user equipment (UE) in a wireless communication system and a UE performing the method. The method includes receiving a channel state information (CSI) reporting configuration, wherein the CSI reporting configuration indicates a resource set for channel measurement including K resources, K > 1; reporting CSI associated with MR resources of the K resources and CSI associated with M- MR resources, MR ≥ 0, wherein the M and the MR resources are indicated by the CSI reporting configuration, and the M-MR resources are from the K resources other than the MR resources, wherein in case that the reported CSI includes CSI Part 1 and CSI Part 2, and the CSI reporting configuration indicates that each of the K resources corresponds to a rank indicator (RI) restriction, CSI Part 1 associated with the m-th resource of the M-MR resources is zero-padded to a fixed pay load size by zero-padding bits, 1 ≤ m ≤ M - MR.

The invention provides a smart interference parameter estimation and interference suppression method, and relates to the technical field of radar signal processing. Comprising the following steps: performing zero padding operation on a reference signal according to the length of each interference slice; determining a correlation result between each interference slice and the zero-filled reference signal according to the zero-filled reference signal, the sampling segment and the convolution kernel; determining an estimation parameter according to the length of the correlation result, the tail position of the correlation result and the length of each interference slice; determining a corresponding search range according to the estimation parameter, and reconstructing each new interference slice in the search range by using a least square method according to the value of each interference slice at all corresponding first sampling points and the values of the sampling fragment and the convolution kernel at all corresponding second sampling points; and determining an optimal interference suppression result by using the minimum mean square error according to the radar echo signal and each new interference slice in the search range. Effective suppression of smart interference is realized, and meanwhile, target information is reserved to a great extent.

The invention relates to the technical field of signal processing, in particular to an accurate frequency estimation method combining an amplitude ratio method and an interpolation method, which comprises the following steps of: generating a pulse single-frequency signal with zero filling, and setting a signal frequency value, a pulse width and a total signal length; performing M-point FFT calculation on the received signal to obtain a maximum spectral level position and an adjacent spectral line coefficient, and intercepting a noise segment to estimate noise power; performing coarse frequency estimation through a corrected amplitude ratio method; performing accurate estimation based on a zero-filling improved fractional Fourier coefficient interpolation method; and outputting a final accurate frequency estimation result. According to the method, the problems that the requirement of a fractional Fourier coefficient interpolation method for coarse estimation is high and estimation is inaccurate under the condition that the initial error of a signal frequency domain is large are solved, meanwhile, the problem that an amplitude ratio method does not consider noise power is corrected, and compared with a traditional amplitude ratio method, the accuracy is greatly improved.