55 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.

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.

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.

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 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 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 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 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.

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 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.

The invention provides a tobacco leaf producing area classification method based on fusion auxiliary labels and image reconstruction, and the method comprises the following steps: obtaining tobacco leaf sample data which comprises tobacco leaf chemical component data, tobacco leaf grade parts, year information and producing areas; calculating correlation coefficients of the chemical component characteristics to obtain an absolute correlation matrix, and calculating a cosine distance of the absolute correlation matrix to obtain a distance matrix; performing hierarchical clustering by adopting a Ward method based on the distance matrix; the clustered leaf nodes are obtained to fill the matrix according to rows in sequence, and a basic image is obtained; for the grade part and year information of the tobacco leaves, coding is carried out by adopting one-hot coding to obtain an auxiliary label vector, and the auxiliary label vector is expanded into an auxiliary label image with the same size as the basic image through zero filling operation; splicing the basic image and the auxiliary label image to form multi-channel input data; and constructing a convolutional neural network producing area classification model for classifying tobacco leaves in different ecological areas based on a CNN network model.

The invention relates to a direct-current fault distance measurement method and system for a subway traction power supply system, and belongs to the technical field of relay protection of an electric traction power supply system. Firstly, voltage traveling wave data of traveling wave coupling boxes at the two ends of a direct-current traction network line within a 3ms time window after a fault occurs are collected; extracting a double-end voltage traveling wave spectrum by using FFT analysis; according to double-end spectrum distribution characteristics, double-end traveling wave inherent frequency first and second frequency difference values are calculated respectively, then the ratio of the double-end frequency difference values is calculated, and finally distance measurement is performed by using the function relationship between the ratio and the fault distance. The method is not influenced by boundary conditions and parameter frequency variation characteristics of a line terminal of the direct-current traction network, does not depend on double-end synchronous time synchronization, is high in distance measurement precision of different fault distances and fault types, is good in distance measurement stability, and is suitable for direct-current fault distance measurement of the subway traction power supply system.

Aspects of this disclosure relate to an asynchronous sample rate converter (ASRC) comprising a signal input configured to receive an input signal having one or more input signal values at a first sample rate, a first clock input configured to receive an input clock signal corresponding to the first sample rate, a signal output configured to provide an output signal having one or more output signal values at a second sample rate, a second clock input configured to receive an output clock signal corresponding to the second sample rate, a zero-padding circuit configured to add a plurality of zero values following at least one of the one or more input signal values, and a filter configured to generate the output signal, the output signal having one or more output signal values based on the input signal.

The invention relates to an FPGA (Field Programmable Gate Array)-oriented multi-unmanned aerial vehicle detection low-resource matched filtering method. The method comprises the following steps: analyzing a ZC sequence with a periodic repetition characteristic from a received unmanned aerial vehicle image transmission signal as a feature sequence; an expansion sequence meeting the point length is constructed through zero padding in a time domain, and correlation operation is realized in a frequency domain, so that the calculation complexity is remarkably reduced; an overlapped window mechanism and a double-path parallel processing structure are adopted in the FPGA, and a delay branch and a selector are spliced for output, so that the deficiency of a linear correlation result caused by cyclic convolution is made up, and a complete matched filtering function is realized; and carrying out constant false alarm detection on an output time domain correlation result, carrying out 1 MHz stepping frequency sweeping in frequency bands of 2.4 GHz to 2.483 GHz and 5.725 GHz to 5.85 GHz, carrying out statistics on the number of peak values of different feature sequences in each channel, and accurately distinguishing a plurality of unmanned aerial vehicles in the same frequency band in combination with a guard interval discrimination mechanism. According to the method, the problems that a traditional FIR filter is high in resource consumption and high-performance processing is difficult to achieve on a low-resource platform are effectively solved, and the method has the advantages of being low in resource, high in throughput and real-time.

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a transmitting device may obtain a plurality of packet data convergence protocol (PDCP) packets. The transmitting device may generate an external coding block according to assembling the plurality of PDCP packets. The transmitting device may divide the external coding block into a plurality of external coding symbols according to an external coding symbol size. The transmitting device may apply forward error correction coding to the external coding block. The transmitting device may transmit the plurality of external coded symbols according to applying the forward error correction coding to the external coded block. Zero padding is applied to at least one of the outer coded block or the plurality of outer coded symbols based on a difference between a PDCP packet size associated with the plurality of PDCP packets and an outer coded symbol size associated with the plurality of outer coded symbols.

The invention provides an azimuth angle estimation system and method, and aims to solve the problems of low angle resolution, large calculation amount and poor adaptability to a sparse array in the prior art. The system adopts a hierarchical search strategy and combines FFT and DBF technologies to realize high-precision azimuth angle estimation. Rough estimation of a large-view-field target is carried out through FFT, and then fine adjustment is carried out on a target area by using DBF, so that the processing efficiency is improved while the precision is ensured. According to the system, the processing flow is divided into a plurality of functional units through modular design, parallel processing of a plurality of targets is achieved through a Dataflow mechanism, and the processing throughput and the real-time performance are greatly improved. Besides, for a non-equal-interval antenna array, an array interpolation and zero padding mechanism is introduced, high-precision angle estimation is ensured, and hardware complexity is reduced. Generally speaking, the precision and the real-time performance of azimuth angle estimation are remarkably improved, and the method is suitable for high-precision target detection in the fields of automatic driving, intelligent transportation and the like.

The application relates to a deep learning microwave imaging method fusing virtual antenna data, comprising the following steps: a two-dimensional electromagnetic scattering model is established, and original scattering field observation data are collected under a sparse antenna configuration; the original scattering field observation data are processed by adopting a Fourier zero padding (FDZP) method, virtual scattering field data based on FDZP expansion are obtained, and a data set is further constructed; an FDZP-UNet network is constructed; the data set is input into the FDZP-UNet network, target dielectric constant prediction is output, and a high-resolution reconstructed image is further obtained. The deep learning microwave imaging method fusing virtual antenna data provided by the application comprehensively considers three performance indexes of imaging fidelity, system hardware cost and reconstruction efficiency, realizes virtual aperture expansion at a physical level through the Fourier domain zero padding method, effectively makes up for the physical information loss caused by sparse sampling, and greatly reduces the dependence on a large-scale physical antenna array.

The application provides a communication method, device and equipment, and relates to the technical field of communication. The method comprises the following steps: performing unequal error protection coding on information bits according to the importance of the information bits to be transmitted, to obtain a coding result; performing zero padding on the coding result to a length equal to the number N of subcarriers, and then modulating the zero-padded coding result to obtain frequency domain symbols corresponding to N subcarriers; determining M active subcarriers from the N subcarriers; and transmitting the frequency domain symbols corresponding to the M active subcarriers and zero-value signals corresponding to the remaining N-M subcarriers to a receiving end. The method of the application embodiment effectively solves the problems of information loss and high bit error rate in the traditional subcarrier reduction scheme.

The application belongs to the technical field of interconnection network reliability and fault diagnosis, and discloses a low-wrapping-length interconnection network intermittent fault diagnosis method based on a graph attention mechanism. Aiming at the hierarchical recursive structure characteristics and high connectivity characteristics of the network, under the PMC fault diagnosis model, the test signs in the node neighborhood are obtained through a multi-round test strategy. A local statistical feature extraction method is used to construct a feature vector for each node, and a zero padding and noise enhancement technology is used for pretreatment. Finally, a graph attention network model is constructed, the importance weight of the neighbor node test result is dynamically learned by using the attention mechanism, and the accurate diagnosis of the node fault state in the network is realized. The application uses the powerful local information aggregation capability of the graph attention network, breaks through the diagnosis degree limitation of the traditional algorithm, and can still maintain high diagnosis accuracy and robustness under the condition of high fault rate, incomplete test signs and large network scale.

The invention discloses an FPGA (Field Programmable Gate Array)-based universal pooling implementation method for a row-column double-flow water type. The FPGA-based universal pooling implementation method mainly comprises a pooling layer control center module, a configurable parameter register module, a row-column pipeline data scheduling module, a row-column bidirectional pipeline cache module, a pooling operator control module and a pooling calculation module. A pooling layer control center module sends a configuration instruction to a row and column pipeline data scheduling module and a pooling operator control module through a configurable parameter register module, zero padding Padd, a step length S and the size and the number of feature map cache BRAMs are configured, and meanwhile a pooling core window and a pooling calculation mode are configured. The feature map data is output according with an input format of the pooling calculation module after passing through the pooling double-flow water cache module, and the pooling calculation module inputs the data into a pooling operator and outputs a pooling result. In the field of hardware acceleration, a pooling module can be realized through a row-column double-flow water mechanism to meet the high-speed real-time calculation requirements of various convolutional neural networks.

The application discloses a high-precision radar transmitter frequency test method. The method comprises the following steps: performing zero padding operation on original data; based on the zero-padded data, a first frequency estimation value is obtained by using a classical spectrum estimation method; based on the first frequency estimation value, a second frequency estimation value is obtained by using a parameterized spectrum estimation method; and the first frequency estimation value and the second frequency estimation value are averaged to obtain a final frequency estimation value. The method realizes high-precision frequency estimation by averaging the original data multiple times.

The application provides a two-dimensional optimal disassembly method for long sequence FFT calculation, and relates to the technical field of digital signal processing. In the application, firstly, the difference between the input sequence length and the nearest integer power of 2 is calculated and dynamic zero padding is performed; then, a grouping strategy is adaptively selected based on the parity of the length after zero padding; next, the data is loaded into a dedicated storage unit according to the selected rule to perform row direction FFT processing, and then column direction FFT is performed on the intermediate row FFT result after phase compensation is applied; finally, the two-dimensional transformation matrix is expanded into a one-dimensional vector by row to be output. Through the synergistic optimization of the dynamic grouping strategy and the two-dimensional architecture, the calculation efficiency is effectively improved and the resource occupation is reduced, and the method is particularly suitable for real-time signal processing in a resource-limited environment.