66 results about "Local sequence" patented technology

The invention discloses a user behavior sequence recommendation method and system based on the combination of a large model and a graph neural network, and a storage medium, relates to the technical field of behavior sequence recommendation, and aims to solve the problem that the text feature extraction capability of a large language model and the dynamic modeling capability of sequence recommendation are difficult to deeply fuse in an existing method. And accurate and comprehensive recommendation is difficult to realize. A large-model-based article text representation learning module of an LLM-SR model extracts high-quality semantic embedding of an article text through a large language model, and article representation adaptive to a recommendation task is generated in combination with linear layer mapping and a multi-layer perceptron; capturing a local sequence relation and a cross-session co-occurrence relation of the articles by utilizing the session graph and the global graph through a sequence representation learning module based on a graph neural network, and generating comprehensive representation of a user behavior sequence; and article scores are calculated according to the dot product of the user sequence representation and the candidate article embedding through a prediction score calculation module, and a final recommendation result is generated.

The invention provides a DFT precoding FBMC system carrier synchronization method oriented to air-ground communication. The method comprises the following steps: acquiring FBMC symbol data to be transmitted; a special CAZAC sequence with the length of M / 4 is constructed, four synchronous sequence symbols are constructed, and corresponding sending signals of a time domain are output after the four synchronous sequence symbols and other data symbols are subjected to conjugate symmetry module, pre-FFT, IFFT subcarrier modulation and PPN multi-phase filtering; the method comprises the following steps: constructing a local sequence at a receiver end, respectively taking two continuous parts with the length of M / 4 from a received special time domain sequence signal, and respectively correlating the two continuous parts with corresponding parts of the local sequence to obtain a correlation result; and conjugating the correlation result of the first part of sequence, multiplying the conjugate with the correlation result of the second part of sequence to obtain a frequency offset measurement function, obtaining decimal frequency offset estimation according to the frequency offset measurement function, and carrying out carrier frequency offset compensation by using a frequency offset estimation value. According to the method, a synchronous training sequence design method is provided, and carrier frequency offset is estimated and corrected by using time domain signal construction characteristics of a training sequence.

The invention provides a motor ripple counting method and device, equipment and a storage medium. The method comprises the following steps: reading sequence data of M ripple periods from a starting point of a pre-acquired motor ripple sampling sequence according to an initial single period value and a sampling period value of a ripple analog-to-digital converter, taking the sequence data as a processing sequence, carrying out correlation transformation according to a corresponding local sequence, and according to a prediction period of the pre-predicted processing sequence, carrying out correlation transformation on the processed sequence; and determining a target algorithm and a measuring point set, calculating to obtain an upper peak position corresponding to the related transformation sequence based on the measuring point set and the target algorithm, further determining the number of ripples of the processing sequence, performing accumulative counting, and starting from a new starting point position according to a time sequence, repeating the steps until the motor ripple sampling sequence is processed. Through the above method, ripple counting is performed on the motor ripple sampling sequence based on the measuring point set, the calculation amount is reduced, the accuracy is improved, and the influence of serious distortion and noise is avoided.

The hybrid addressing method and the hierarchical multi-core cascading device provided by the invention comprise the following steps: if a core in a basic module initiates a memory access request, analyzing the memory access request to obtain a row offset high order of an access address, if the row offset high order is located in a sequence region, rearranging the access address to obtain a rearranged address, and if the row offset high order is located in the sequence region, rearranging the rearranged address to obtain the hierarchical multi-core cascading device. The rearranged address is restrained in the memory bank of the basic module, the sequence area is a preset row in the memory bank of the core, and if a row offset high bit is located in an interleaving area, the access address is divided to obtain a divided address; wherein the divided addresses are stored in memory banks of different basic modules, and the interleaving area is an area except a sequence area. A dual-mode design of a local sequence region and a global interleaving region is adopted, and an exclusive sequence region is divided in global interleaving mapping by recoding an address high bit, so that balance between a global shared memory view and local low-latency access is ensured.

The invention belongs to the field of sequence recommendation, and particularly relates to a contrast learning sequence recommendation method and system based on time interval data enhancement. The method comprises the following steps: acquiring original sequence recommendation data, wherein the original sequence recommendation data is a user behavior sequence of a plurality of users; dividing each user behavior sequence into a plurality of subsequences, and determining the longest uniform subsequence according to the time standard deviation and the sequence length of each subsequence; replacing and inserting the longest uniform subsequence in each user behavior sequence, and replacing the longest uniform subsequence in different user behavior sequences to obtain enhanced sequence recommendation data; wherein the enhanced sequence recommendation data is used for enhancing training of a contrast learning sequence recommendation model. According to the method, the uniformity of the global sequence and the local sequence is considered. By inserting new items between related items, it can be ensured that the time difference of local sequences is reduced, which helps to better capture user interest changes in a short term. And selecting the longest uniform sub-sequence to ensure that the longest uniform sub-sequence has enough similarity with the global sequence. And the inserted items are more similar to surrounding items, so that the consistency and coherence of recommendation can be kept. Therefore, the accuracy of the contrast learning sequence recommendation model is further ensured.

The invention provides a serial number generation method and device. The method comprises the following steps: receiving a serial number application request sent by any instance in a micro-service application program; sending a registration request to a global sequence management service to obtain an instance identifier allocated by the global sequence management service for the instance; generating a clock identifier corresponding to the instance based on a first preset rule, and initializing a local sequence number corresponding to the instance; and generating a target serial number according to the current timestamp, the instance identifier, the clock identifier and the initialized local sequence number, and sending the target serial number to the instance, so that in the process of generating the serial number, a centralized serial number generation method is not adopted; according to the method, the serial number generation component is integrated into the micro-service application program by using the thought of a distributed architecture, and the global sequence management service is added to uniformly manage the sequence, so that the serial number is directly generated locally, the performance of serial number generation is greatly improved, and the requirements of a distributed business system in a financial scene can be met.

The invention provides a regional soil fertility space-time evolution prediction method and system, and relates to the field of data processing prediction.The method comprises the steps that agricultural management events such as fertilization and irrigation are captured in real time through an edge computing node cluster, and an asymmetric time window is constructed based on a soil permeation rate model; extracting meteorological and satellite data in the window, querying the coupling rule table by using a triple index, and generating a coupling factor data set with a semantic mark; calculating a sliding time variance of a coupling factor in a grid unit, marking a high-entropy region and starting real-time stream processing when the sliding time variance exceeds a threshold value, and generating a soil state Hash fingerprint and performing dormancy collection when the sliding time variance is lower than the threshold value; constructing a regional event path directed graph, selecting a similar neighborhood event chain as a prediction framework, and registering an empty window region; the neighborhood topology is scanned in a buffer zone of a window area, after a compliance event sequence is captured, a window is removed, similar neighborhood historical data is migrated and injected into a local sequence, and parameters are finely adjusted through incremental learning to reconstruct an exclusive prediction model.

The invention discloses a burst frequency hopping communication system high-precision arrival time estimation method, device and medium, and relates to the field of burst communication system time synchronization, and the method comprises the following steps: a receiving end carries out multi-channel down-conversion and double symbol sampling on a frequency hopping signal, and carries out local sequence correlation processing; aligning related results according to the frequency hopping pattern and the delay difference, performing non-coherent accumulation, and recording frame header stamping time at a peak moment; performing linear fitting on a correlation peak result to calculate a timing error estimation value; querying and obtaining corresponding compensation time by using an offline established time compensation table to correct the timing error estimated value, and obtaining a timing error precise estimated value; and finally, compensating the precise estimation value to the frame header stamping time, and outputting high-precision arrival time. According to the invention, high-precision time synchronization is realized at a low sampling rate, and hardware overhead is effectively reduced.

The application provides an efficient deep learning method and system based on a squeeze-excitation-network and a ConNet network, which comprises the following steps: obtaining a protein global sequence and a protein local sequence as a sample set, and setting model parameters of a DeepNet deep framework; dividing the sample set into a training set and a verification set, setting a model architecture of the DeepNet deep framework, extracting effective feature information, combining negative samples and positive samples in the protein global sequence and the protein local sequence, and sending the samples into the DeepNet deep framework for training and hyperparameter tuning; adaptively coding the protein global sequence and the protein local sequence; designing a local sequence processing branch and a global sequence processing branch, extracting network structure features and key information between long and short sequences by using different scale convolution networks, and calculating final prediction probability according to the key information. The application solves the technical problems that sufficient feature information cannot be extracted and global information is not fully considered and between global information and local information.

The embodiment of the invention provides a data processing method and electronic equipment, and relates to the technical field of electronic equipment. According to the invention, the time domain position and the frequency domain offset of the synchronization channel in the signal can be determined according to the signal sent by the communication satellite. The method may include receiving first information from the communication satellite, the first information including the synchronization channel information. According to the first base sequence, a first local sequence is obtained, and the length of the first local sequence corresponds to the length of the first information. And obtaining a first frequency domain sequence corresponding to the first base sequence according to the first local sequence. And determining a first index and a first frequency offset according to the first frequency domain sequence. The first index is used for indicating the time domain position of the synchronization channel information in the first information, and the first frequency offset is used for indicating the frequency offset between the first information and the main frequency of an access cell of the electronic equipment when the first information reaches the electronic equipment.

The embodiment of the invention provides a frame synchronization method and device based on a WI FI system, and the method comprises the steps: carrying out the delay self-correlation of a short training sequence of a main channel and a secondary channel, carrying out the bandwidth detection of a current WI FI frame according to the delay self-correlation result of the main channel and the secondary channel, and when the bandwidth detection result of the current WI FI frame is greater than a specified bandwidth, carrying out the bandwidth synchronization of the current WI FI frame. And coarse synchronization is carried out according to a delay self-correlation result of the main channel and the secondary channel to obtain long training sequences of the main channel and the secondary channel, and a correlation peak is searched for a cross-correlation result of the long training sequences of the main channel and the secondary channel and a long training sequence of a local sequence to carry out fine synchronization so as to determine a symbol boundary of the current WIFI frame. According to the method and the device, the problems that only a main 20M channel is used, other channels are not used, and timing errors are deteriorated due to the length of the PPDU are solved, and the effects of improving the frame synchronization precision of the WI FI system and reducing the error code probability caused by the overlong length of the PPDU are achieved.

The invention discloses a plane design element importance detection method, system and equipment based on weak supervision training and a medium. The method comprises the following steps: manually marking a data set of a global grid sequence; dividing the graphic design into a global grid and a local grid through weak supervision training; obtaining a prediction sequence and a relative weight by using the local sequence prediction model and the global sequence prediction model; the relative weight of the text and the visual feature Vt is obtained through a weight adaptive model; calculating importance indexes of the graphic design elements; the system, the equipment and the medium are used for implementing the method. By introducing a strategy of combining division of a global grid and a local grid of plane design and a multi-scale sequence prediction model, a training process is optimized, and efficient sequence prediction is realized; the importance detection of the design elements can be carried out in an efficient, accurate and low-cost mode, and a more feasible solution is provided for the wide field of plane design.

The invention discloses an interference suppression method, system and device based on frequency point quality cognition and a medium, and relates to the field of frequency hopping communication. A transmitting end adopts a frame structure of'synchronous head sequence + information sequence + synchronous tail sequence ', and forms a frequency hopping pulse signal for radiation after processes of coding, framing and frequency hopping modulation; a receiving end processes a received frequency hopping pulse signal after signal detection and timing synchronization, calculates a noise power value of each frequency hopping pulse after frequency hopping pulse synchronization head and tail sequences are correlated with a local sequence, calculates a noise weight value of each pulse, multiplies a weight factor with a pulse signal after channel equalization, and obtains a frequency hopping pulse signal. By reducing the signal observed quantity weight of the interfered frequency point, the influence of the confidence coefficient reduction caused by the interference signal on the channel decoding of the whole communication system is suppressed, so that the reliable transmission under the condition of low signal-to-noise ratio and strong interference is realized.

The invention discloses a frequency offset self-compensation UWB (ultra wide band) signal detection method, which belongs to the technical field of UWB communication and comprises the following steps of: firstly, performing cross-correlation operation on a signal sampled by an ADC (analog-to-digital converter) and a local sequence; secondly, on the basis of a peak value detection position, calculating a phase difference by utilizing a cross-correlation operation result obtained by calculation and a cross-correlation operation result of a previous symbol; performing phase compensation on the currently calculated cross-correlation result by using phase compensation; adding the cross-correlation result after phase compensation and the cross-correlation result of the previous symbol at the same position; carrying out peak period detection by using the added cross-correlation result, and updating a peak detection position and a peak period detection count value; updating a phase compensation value according to the peak period detection count value and the calculated phase difference; finally, whether the peak period detection count value reaches a set threshold value or not is judged, and if the peak period detection count value reaches the set threshold value, a signal detection result is output; and if not, the steps 1-7 are executed again.

This invention discloses a frequency offset self-compensation method for UWB signal detection, belonging to the field of ultra-wideband communication technology. The method includes the following steps: First, cross-correlation is performed between the ADC-sampled signal and the local sequence; second, based on the peak detection position, the phase difference is calculated using the calculated cross-correlation result and the cross-correlation result of the previous symbol; then, phase compensation is performed on the currently calculated cross-correlation result; next, the phase-compensated cross-correlation result is added at the same position to the cross-correlation result of the previous symbol; then, peak period detection is performed using the added cross-correlation result, updating the peak detection position and peak period detection count; the phase compensation value is updated based on the peak period detection count and the calculated phase difference; finally, it is determined whether the peak period detection count has reached a set threshold. If it has, the signal detection result is output; otherwise, steps 1-7 are repeated.

The application develops a prediction method and model of mRNA translation protein product based on deep learning. Specifically, the application designs a method for accurate prediction of transcriptome level translation product based on a deep learning method, which is used for predicting the translation site and translation product of the transcript sequence, forming a TRANSAID model. The TRANSAID model of the application adopts a unique sequence coding strategy and deep learning architecture, can capture local sequence features and long-range dependencies at the same time, greatly improves the prediction accuracy, can predict the transcript sequence of different species, has the cross-species prediction ability which first appears in the field, and can also identify the different influences of 5'UTR and 3'UTR regions on translation regulation.

The present invention provides a method and device for detecting a physical uplink control channel, wherein the method comprises: determining a local sequence corresponding to a first cyclic shift value and a local sequence corresponding to a second cyclic shift value based on two values ​​of a parameter for determining a cyclic shift and an initial offset value of a target user equipment; obtaining a first power based on the received frequency domain data of a physical uplink control channel sent by a target user equipment and the local sequence corresponding to the first cyclic shift value, and obtaining a second power based on the frequency domain data and the local sequence corresponding to the second cyclic shift value; determining the larger of the first power and the second power as the total power, and obtaining the noise power based on the larger of the first power and the second power; and obtaining the signal-to-noise ratio of the physical uplink control channel based on the total power and the noise power. The method and device for detecting a physical uplink control channel provided by the present invention can improve the efficiency of detection.

The invention discloses a DNA data storage coding method and device based on dynamic coding, and the method comprises the steps: firstly capturing local sequence features in a DNA sequence through a preset sliding window based on a to-be-coded DNA sequence, and carrying out the coding of the DNA sequence based on the currently captured local sequence features; determining G and C basic group contents in the local sequence features, a homopolymer risk detection result and a sequence complexity evaluation result; according to the G and C base content, a homopolymer detection result and a sequence complexity evaluation result, base allocation configuration information used for controlling coding logic for coding various bases into the DNA sequence is updated, sequence coding is carried out on the DNA sequence according to the updated base allocation configuration information, and then new local sequence features can be captured by adjusting a sliding window, so that the DNA sequence is coded. Therefore, dynamic adjustment of coding parameters of DNA sequence coding is realized, and the sequence quality is continuously monitored for real-time feedback adjustment, so that the sequence quality is improved while the coding efficiency is kept.

In at least one embodiment, processing can include receiving a command at a first node in a system, wherein the first node manages first user data (UD) log resources and a second node of the system manages second UD log resources. The first and second nodes can generate sequence numbers from corresponding node-local sequences. Each command of a UD log is associated with a generic serial number (GENSN). Responsive to determining the command is a write I / O directed to logical addresses owned by the first node, the first node can perform processing to record the write I / O in the UD log without any internode communication with the second node. The recorded write I / O can be associated with a GENSN including a non-zero value that is a sequence number of the first node's local sequence and a zero value corresponding to the second node.

The application discloses a high-precision time of arrival estimation method, equipment and medium for a burst frequency hopping communication system, relates to the field of time synchronization of a burst communication system, and comprises the following steps: a receiving end performs multi-channel down-conversion and 2 times symbol sampling on a frequency hopping signal, and performs correlation processing on a local sequence; non-coherent accumulation is performed on the correlation results after the correlation results are aligned according to a frequency hopping pattern and a delay difference, and a frame header stamping time of a peak time is recorded; a timing error estimation value is calculated by performing linear fitting on the correlation peak results; a corresponding compensation time is obtained by querying a time compensation table established offline, so as to correct the timing error estimation value, and a precise timing error estimation value is obtained; and finally, the precise estimation value is compensated to the frame header stamping time, and a high-precision time of arrival is output. The application realizes high-precision time synchronization under a low sampling rate, and effectively reduces hardware cost.

The invention provides a method and a system for online registration of an ONU (Optical Network Unit) of a P2MP (Point to Multipoint) system. The ONU randomly selects a sequence from the sequence code set, carries out analog intensity modulation on the sequence, then moves a registration signal to a frequency band protection interval, and sends the registration signal to the OLT together with a service signal. After the OLT receives the signals, the signals are subjected to frequency shift and filtering to extract registration signals. The method comprises the following steps of: performing resampling operation on a registration signal, performing simulation square detection, removing a direct current component in the registration signal, combining two polarized signals, performing multiple periodic averaging, performing cyclic cross-correlation operation on the processed signal and a local sequence code set, and detecting an obtained peak value; and if the peak value is detected to exceed a preset judgment threshold value, indicating that the sequence code is activated, and estimating the time delay of the sequence code. According to the invention, high frequency offset estimation and time delay estimation precision can be realized, and the designed registration signal has small influence on the performance of the service signal; registration signal power is allowed to be far smaller than service signals.

The present application discloses a signal synchronization method, device, storage medium, and node for a wireless ad hoc network, relating to the field of communications technology. The wireless ad hoc network includes a receiving node and a transmitting node. The receiving node can perform the following operations: receiving a data packet sent by the transmitting node; obtaining a first received sequence from the data packet using a sliding window of a first length; performing frequency domain cross-correlation calculation and analysis on the first received sequence and a local sequence to obtain a rough signal synchronization point; obtaining a second received sequence where the rough signal synchronization point is located using a sliding window of a second length; performing frequency domain cross-correlation calculation and analysis on the second received sequence and the local sequence to obtain a signal starting point, wherein the first length is greater than the second length. The present application can effectively improve the accuracy and efficiency of signal synchronization in wireless ad hoc networks.

The application provides a motor ripple counting method, device, equipment and storage medium. The method comprises the following steps: reading sequence data of M ripple periods from a starting point of a motor ripple sampling sequence obtained in advance as a processing sequence according to an initial single period value and a sampling period value of a ripple analog-to-digital converter, performing correlation transformation according to a corresponding local sequence, determining a target algorithm and a measurement point set according to a predicted period of the processing sequence predicted in advance, calculating an upper peak position corresponding to the correlation transformation sequence based on the measurement point set and the target algorithm, accumulating and counting the number of ripples of the processing sequence, and repeating the above steps in a time sequence to start at a new starting point until the motor ripple sampling sequence is processed. Through the above method, the motor ripple sampling sequence is counted based on the measurement point set, the calculation amount is reduced, the accuracy is improved, and the influence of serious distortion and noise is avoided.

In at least one embodiment, processing can include receiving a command at a first node in a system, wherein the first node manages first user data (UD) log resources and a second node of the system manages second UD log resources. The first and second nodes can generate sequence numbers from corresponding node-local sequences. Each command of a UD log is associated with a generic serial number (GENSN). Responsive to determining the command is a write I / O directed to logical addresses owned by the first node, the first node can perform processing to record the write I / O in the UD log without any internode communication with the second node. The recorded write I / O can be associated with a GENSN including a non-zero value that is a sequence number of the first node's local sequence and a zero value corresponding to the second node.

The present application relates to the technical field of communication, and especially relates to a correlation processing system, method and device for PSS detection and a medium. The system comprises: a parity separation module, configured to separate received air interface data into odd road sequences and even road sequences and output; two-way matched filters, one of which is configured to multiply the odd road sequences as input data with odd road data in a PSS local sequence to obtain odd road multiplication results, and the other of which is configured to multiply the even road sequences as input data with even road data in the PSS local sequence to obtain even road multiplication results; and a post-processing module, configured to first perform modulo operation on the odd road multiplication results and the even road multiplication results respectively, and then perform addition operation to generate correlation results. The scheme of the present application can effectively resist the detection performance decline caused by frequency offset, without the need for multiple attempts in the possible frequency offset range, greatly shortening the time consumed by PSS detection.

The embodiment of the application provides a kind of signal processing method and device, it is related to terminal, communication and other technical field, the method comprises: obtaining the signal sequence to be handled, and the local sequence corresponding to signal sequence, the total number of signal in local sequence is less than the total number of signal in signal sequence;According to the index of signal in signal sequence, signal sequence is divided into at least one signal group and the remaining signal except signal group in signal sequence, each signal group includes two signals, and the sum of the index of two signals is equal to the total number of signal in signal sequence;For each signal group, determine the pre-processing result corresponding to signal group, and the pre-processing result is used to obtain the correlation between signal sequence and local sequence;According to the pre-processing result corresponding to each signal group, the remaining signal and the local sequence, determine the correlation, for reducing the power consumption of terminal equipment.

This invention relates to a method for extracting entity nesting from equipment maintenance and support text based on multi-technology fusion, belonging to the field of big data. The method includes: acquiring equipment maintenance and support text and performing word segmentation to obtain multiple sequence fragments; setting scanning windows of different lengths and scanning and filtering the sequence fragments according to configured filtering rules to obtain candidate sequences; inputting the candidate sequences into a BERT pre-trained model to convert them into feature vector sequences; using a BiLSTM neural network to extract features from the feature vector sequences and obtain sequence context information; using a TextCNN neural network to process the feature vector sequences and obtain local sequence features; concatenating the features to obtain fused features; mapping the fused features to label scores through a fully connected layer; calculating the label probability of a sequence fragment being an entity based on the label scores to predict the entity label corresponding to the sequence fragment. This invention's method can improve the efficiency and quality of equipment maintenance and support work by integrating multiple methods and strategies.

The application belongs to the technical field of deep reinforcement learning, and discloses a multi-agent multi-task cooperative reinforcement learning method based on a space-time fusion architecture, which comprises the following steps: step 1, initializing a task sampling probability, forming an entity embedding vector sequence and a task embedding vector; step 2, inputting the entity embedding vector sequence and the task embedding vector into a noise-resistant feature extraction layer to obtain deep time sequence features; step 3, generating a dynamic weight matrix in real time to obtain local Q values output by an agent; step 4, a Transformer hybrid network receiving a global state vector of an environment, a task embedding vector and a local Q sequence to give a global action value; step 5, calculating a total loss; and step 6, based on the total loss, training an optimization unit to update all network parameters, and simultaneously, judging whether a preset evaluation round is reached. The application has stronger anti-interference ability and more stable control performance, and realizes adaptive control of multiple heterogeneous tasks.

This application provides a graphical user interface (GUI) operation method, apparatus, device, and medium. The method includes: performing intent recognition and parsing on natural language commands to obtain a structured intent sequence; performing parsing and semantic mapping operations on the candidate GUI operation sequence to obtain a structured GUI operation sequence; constructing a matching score matrix between the structured GUI operation sequence and the structured intent sequence based on a local sequence alignment algorithm; determining the element with the largest value in the matching score matrix as the matching degree; and executing the candidate GUI operation sequence if the matching degree is greater than a threshold. This solves the semantic difference between the GUI operation sequence and the natural language commands, and robustly handles the mismatch in granularity and length between the two sequences, thereby improving the accuracy of the calculated matching degree and thus increasing the consistency between the GUI operation result and the user's expectations, enhancing the user experience.

The invention provides a satellite signal capturing method and device, equipment and a storage medium, and relates to the field of satellite communication system signal processing, and the method comprises the steps: receiving a satellite signal, and determining a search window; sliding one sampling point in the search window every time by using the data window, and obtaining a plurality of window sequences after sliding is finished; first correlation operation is carried out on the multiple window sequences and local sequence data at the same time, and the peak value of a correlation peak corresponding to each sampling point is obtained; dividing the satellite data sequence into a plurality of subsequences, and summing peak values of correlation peaks of sampling points which are located in different subsequences and have the same position in the subsequences to obtain a peak value sequence; and when determining that a target peak value exceeding a preset capture threshold exists in the peak value sequence, determining that the satellite signal is successfully captured. The acquisition efficiency of satellite signals is improved through a full-parallel operation mode; in addition, the peak values of the correlation peaks of the sampling points which are located in different subsequences and have the same position in the subsequences are summed, so that the signal-to-noise ratio is improved.