104results about How to "Improve error correction performance" patented technology

The invention relates to the technical field of data retransmission, in particular to a retransmission and error correction method, system and device for communication packet loss and a storage medium, and the method comprises the steps: monitoring a network transmission state at a current moment in real time, so as to judge whether a data packet loss event exists or not; if the data packet loss event exists, historical transmission data are obtained, and the historical transmission data are packet loss record information in the communication process; analyzing the data packet loss event in combination with the network transmission state and the historical transmission data to obtain packet loss analysis information; and determining a corresponding packet loss compensation mode in combination with the network transmission state at the current moment, the packet loss analysis information and the priority of the corresponding lost data packet in the data packet loss event. According to the invention, the retransmission efficiency and the error correction capability in communication transmission can be improved so as to match the communication requirements in the current complex network environment.

The invention relates to the technical field of serial deserializer design, and discloses an FPGA-based direct-current balanced digital audio and video signal serial deserializer, which comprises a serializer, a deserializer, a control configuration module, a power management module, a configuration storage module and a time sequence control module, the serializer is used for converting parallel digital audio and video data into high-speed serial data streams; the deserializer is used for detecting and repairing abnormal data in the high-speed serial data stream by using a machine learning technology, and converting the repaired high-speed serial data stream back to parallel digital audio and video data; the control configuration module is used for configuring working parameters of the serializer and the deserializer through an external interface; the time sequence control module is used for managing the time sequence relation in the system and ensuring synchronization of data flow between different modules. According to the method, the defects of a traditional deserializer in the aspects of anomaly detection and repair, signal quality evaluation and parameter optimization are overcome, and the stability and quality of high-resolution digital audio and video data transmission are improved.

The invention discloses a reliability parameter assisted low-complexity polarization code rate matching method, and belongs to the technical field of wireless communication. Aiming at the problem that a proper punching site is difficult to select during rate matching due to a recursive structure of a polar code, the invention provides a polar code punching site selection algorithm based on a reliability parameter. An information bit reliability parameter is defined to calculate the reliability of candidate punching bits, and the optimal punching position is selected by traversing and solving the minimum value of the maximum reliability parameter. In order to solve the problem of high complexity of the existing polar code rate matching method, an interleaving algorithm and a pruning serial offset list decoding algorithm based on rate matching parameter mapping are provided, secondary sorting calculation of an interleaver is avoided, and a calculation unit updating strategy of a decoder is simplified. The polarization code rate matching method provided by the invention not only can improve the rate matching coding gain, but also can effectively reduce the calculation complexity.

The invention provides an error correction code circuit, an error correction method, a repair system and a memory, and the error correction code circuit comprises a first decoding module which is used for decoding according to the received source data of a storage bit and the received source verification data of a verification bit, and detecting error data; the judgment module is used for judging whether data of short-circuit bits exist in the error data or not according to the received state indication information of the storage bits and the check bits if the error data exist; the first repairing module is used for negating the data of the short-circuit bit in the error data to generate first correction data when the difference value between the total bit of the error data and the data bit of the short-circuit bit does not exceed the error correction capability; the second decoding module is used for decoding according to the first correction data and detecting error data in the first correction data; and the second repairing module is used for performing ECC error correction on error data in the first correction data to generate second correction data. The error correction capability of the error correction code circuit can be enhanced.

The embodiment of the invention provides an error correction method of a memory system, the memory system and a memory controller. The error correction method comprises the following steps: after hard decision decoding on first hard read data fails, obtaining corresponding first soft data according to the first hard read data and cached second hard read data; the first hard read data is read by the memory system according to the first hard read voltage; the second hard read data is read by the memory system according to the second hard read voltage before the first hard read data is read; performing first soft decision decoding according to the first soft data and the first hard read data, or performing the first soft decision decoding according to the first soft data and the second hard read data; the first hard read voltage is one of a plurality of reread voltages corresponding to the read command; the second hard read voltage is the initial read voltage or the reread voltage except the first hard read voltage in the plurality of reread voltages.

The invention belongs to the field of secure multi-party computing, and discloses a method for combining an RS (Reed-Solomon) code list decoding algorithm, cyclic redundancy check and a secure multi-party computing scheme, which improves the security of secure multi-party computing. And theoretically, the algorithm combining RS code list decoding and CRC exists, so that the secure multi-party computing scheme can resist at most one half of hostile attackers. Meanwhile, a specific method combining an RS code list decoding algorithm and CRC is given, the limitation of the unique decoding radius of the RS is broken through, the error correction capability of the RS code is improved with high probability, and the security of secure multi-party calculation is improved. The method specifically comprises the following steps: calculating a CRC check code of information and combining the CRC check code with the information to obtain a combined code word; performing RS coding on the code word; carrying out list decoding on the attacked code word; each code word in the list is verified, and original information and a secret value are obtained in a probabilistic mode.

The invention discloses a flexible code rate compatible coding method based on a low-code-rate generalized LDPC (Low Density Parity Check) code, and belongs to the field of digital signal processing. The implementation method comprises the following steps: an original signal enters an information processing unit to output an original bit sequence, and the original bit sequence is sent to an LDPC coding unit; and the original information bits generate LDPC code words containing the original information bits and the check bits. The check bits and the information bits are subjected to a Hadamard encoding operation. And randomly deleting the coded 1-degree Hadamard variable nodes according to a preset code rate and channel conditions so as to realize flexible adjustment of the code rate. And performing parallel-to-serial operation on the punched low-bit-rate generalized LDPC code word to form a final coding bit sequence, namely realizing flexible code rate compatible coding of the low-bit-rate generalized LDPC code. According to the invention, flexible code rate compatibility can be realized, the degree of adaptation between the encoder and different channel environments is increased, the transmission efficiency and the channel adaptability are significantly improved, and the communication reliability under variable channel conditions is ensured.

The invention relates to an automatic financial settlement method and device. The automatic financial settlement method comprises the following steps: performing total order query on a bank-enterprise database according to company account change information, and performing entry information query on an order database based on a query result to obtain entry vouchers corresponding to related total order information; constructing a loan account according to the entry voucher, and carrying out loan balance calculation to obtain current loan balance information; carrying out financial updating on the asset account according to the current lending balance information to obtain current asset change information, and carrying out judgment according to an account balance system to obtain unbalanced information; and carrying out error alarm according to the imbalance information, correcting the loan account, obtaining the current loan balance information, and carrying out financial updating. According to the automatic financial settlement method, debit and credit account construction is carried out on related orders to realize refined accounting, so that error tracing and automatic alarm are realized, and the accuracy and transparency of financial settlement are improved.

The invention discloses a data transfer method based on a distributed asynchronous architecture, and the data transfer method based on the distributed asynchronous architecture comprises the following steps: S1, building a plurality of computer nodes; s2, when a source node transfers to a target node, monitoring data consistency by using a machine learning model, and detecting an abnormal mode and a potential data error; s3, fragmenting the data needing to be transferred, creating a copy in the source node, starting an asynchronous copying process, and copying the data from the source node to a target node; and S4, after the data transfer is completed, verifying the data in the target node, and ensuring the integrity and consistency of the data again. Through the asynchronous communication and monitoring system, the efficiency and reliability of data transfer are improved, the data consistency is monitored through the machine learning model, the exception detection and error correction capabilities in the data transfer process are enhanced, and the integrity and consistency of the data are ensured.

The invention discloses a quantum bit-based secure communication system, which comprises a quantum bit generation module, a quantum bit transmission module, a quantum bit measurement module, a quantum transmission error correction module, a secure communication module, an identity management and verification module and a system operation detection and maintenance module, the quantum bit transmission module is used for reliable transmission of the system, the quantum bit measurement module is used for measurement of quantum bits, the quantum transmission error correction module is used for error correction in transmission, the secure communication module is used for encryption and management of the communication process, and the identity management and verification module is used for user identity verification. According to the secure communication system based on the quantum bits, a quantum error correction algorithm based on a neural network is proposed to perform detection and error correction on a transmission process, and a quantum encryption algorithm based on conjugate coding is proposed to perform secure encryption on a communication process.

The invention discloses a voice recognition error correction data set construction method, electronic equipment, a medium and a product, and relates to the technical field of voice recognition, and the voice recognition error correction data set construction method comprises the steps: obtaining corpus data from a preset voice corpus; respectively inputting the corpus data into at least two voice recognition models with different architectures to obtain voice recognition texts respectively output by each voice recognition model; and constructing a speech recognition error correction data set according to the speech recognition texts output by the speech recognition models respectively. According to the technical scheme of the invention, the diversity of error features is increased through the voice recognition models of different architectures, the method is more suitable for the actual use scene, and the training effect of the voice recognition error correction model can be effectively improved.

The application discloses an optical transmission method, device and system based on a polar code embedded irregular QC-LDPC concatenated TCM coding and decoding, which comprises the following steps: sending randomly generated information bits into a polar encoder; transmitting the information bits to an irregular QC-LDPC encoder through a reliable channel in the polar encoder; encoding the information bits by the irregular QC-LDPC encoder to obtain a first encoded signal; performing serial-parallel conversion on the first encoded signal to obtain a parallel bit stream; sending the parallel bit stream into a two-dimensional trellis coding and modulation unit to perform coding and modulation, thereby obtaining constellation symbol information; sending the constellation symbol information into a carrier amplitude and phase modulation unit to obtain a modulation signal; and modulating a to-be-sent light source signal by using the modulation signal to complete optical transmission. The application firstly embeds an irregular QC-LDPC code in a polar code, and then concatenates a two-dimensional trellis code, thereby realizing high-speed, stable and reliable transmission of an optical communication system.

The invention discloses a multivariate channel coding and decoding system based on iterative feedback, and belongs to the technical field of communication. Comprising a transmitting end and a receiving end, wherein the transmitting end comprises a multivariate LDPC (Low Density Parity Check) coding module, a serial-to-parallel conversion / mapping module and a modulator module; and the receiving end comprises a soft demodulator module, a serial-to-parallel conversion / demapping module and a multivariate LDPC soft decoding module. According to the invention, on the basis of multivariate LDPC coding, a special modulation constellation diagram is designed, so that each 16 QAM symbol corresponds to two mutually associated GF4 multivariate LDPC coding code elements, the average Euclidean distance of each code element is maximum, and iterative feedback decoding is introduced, so that the anti-noise performance is improved, and the performance of an optical communication system is improved.

A method, device, and storage medium for constructing rate-compatible polar code clusters are disclosed. This method constructs a general encoding for a set of polar codewords with various code lengths and rates. First, the encoding construction process of rate-compatible polar codes is transformed into a Markov decision process. Then, for the target polar code cluster, a multi-objective reinforcement learning algorithm is used for encoding construction. Under serial cancellation (SC) decoding conditions, a fast construction algorithm assisted by reconstruction is employed. Under list serial cancellation (SCL) decoding conditions, a joint construction algorithm oriented towards the SCL decoder is used. Finally, a highly reliable general information bit sequence is obtained, improving the error correction capability of the target rate-compatible polar code cluster.

This invention provides a coding index modulation method, apparatus, and device based on resource-separated transmission. It separates the information bits (information bits in the original scheme) and check bits for physical layer resource-separated transmission (information bits are carried in MDCSK modulation symbols, and check bits are carried in time slot indices). Simultaneously, a joint soft-decision iterative mechanism is implemented at the decoding end. Without adding extra redundancy or reconstructing the frame structure, it achieves cascading error avoidance, dynamic bit rate adaptation, and improved system error correction capabilities.

The invention discloses a wireless keyboard anti-interference method and device based on a Polar code, and the method comprises the steps: receiving key input information of a user, and converting the key input information into a data bit sequence; performing forward error correction on the data bit sequence based on a simplified Polar code, and performing short packet interleaving on the data after error correction; based on a preset frequency, performing frequency hopping on the data after short packet interleaving; sending the data after frequency hopping to an opposite terminal; the opposite end performs bit error rate detection on the received data, and adjusts the frequency hopping frequency or the interleaving depth according to the bit error rate until the bit error rate reaches a threshold value; and performing de-interleaving and Polar decoding on the received data passing the bit error rate detection to obtain user key input information. The anti-interference capability and the reliability of the wireless keyboard are improved through the combination of the Polar code, the short packet interleaving and the self-adaptive frequency hopping technology.

The present application provides a text error correction method and related equipment, including: obtaining a text to be corrected; segmenting the text to be corrected by a word segmentation algorithm to obtain a word segmentation error correction text; performing error detection on the text to be corrected and the word segmentation error correction text respectively to obtain an error candidate set, wherein the error candidate set includes error words; determining a replacement candidate set based on the error candidate set; grouping the error candidate set to obtain multiple error candidate subsets; generating multiple candidate paths based on multiple error candidate subsets; determining a candidate recommendation set based on the replacement candidate set and the candidate path; and obtaining a recommended text based on the recommended candidate set by a preset algorithm. The text error correction method provided by the present application can cover all error correction paths and candidate possibilities, thereby improving the accuracy of text error correction.

A non-volatile memory device, a memory system, and a method of controlling operation of the non-volatile memory device are disclosed. The nonvolatile memory device includes a memory block, a page buffer circuit, and a control circuit. The page buffer circuit is connected to the cell string through a bit line. The control circuit controls a read operation by: latching first sensing data and second sensing data in the page buffer circuit by performing a first read operation on a selected word line specified by an access address based on a read voltage setting; locking third sensing data in the page buffer circuit by performing a second read operation on an interfering word line adjacent to the selected word line based on at least one adjacent read voltage; selecting one of the first sensing data and the second sensing data as hard decision data based on a programming state of the third sensing data; and generating soft decision data by using the first sensing data and the second sensing data.

The application discloses a processing method of a log-likelihood ratio value table, a soft decoding method and related equipment. The method comprises the following steps: acquiring an optimal hard read voltage of a storage device, performing a multi-read operation by taking the optimal hard read voltage as a first soft read voltage, so as to acquire an initial log-likelihood ratio value table corresponding to the multi-read operation, obtaining an optimal read voltage offset value corresponding to the optimal hard read voltage in response to the optimal hard read voltage being offset, and acquiring a corrected log-likelihood ratio value corresponding to the storage device. Further, the initial log-likelihood ratio value table is corrected by using the corrected log-likelihood ratio value and the optimal read voltage offset value, so as to obtain an offset log-likelihood ratio value table corresponding to the offset optimal hard read voltage. The application realizes dynamic updating of the log-likelihood ratio value table, and further improves the error correction performance of a soft decoder and the reliability of a storage system.

The invention provides a mesh construction method suitable for large-diameter pile foundation reinforcing steel bars, and relates to the field of foundation reinforcing steel bar construction.The structure of a foundation reinforcing steel bar section is divided into multiple sets of independent foundation reinforcing steel bar mechanisms and rib supporting mechanisms, and each foundation reinforcing steel bar mechanism comprises an inner-layer reinforcing steel bar mesh and an outer-layer reinforcing steel bar mesh which are oppositely arranged inside and outside; by means of the mesh construction, the hoisting weight can be reduced, the installation precision is high, on-site construction is more flexible, and the error correction capacity is enhanced; due to the fact that mesh construction is adopted in optimization design of the foundation steel bar structure, and optimization design is conducted on the connection relation between the mesh structures, the on-site hoisting weight is small, the overall construction difficulty is small, and the construction period is greatly shortened; the construction method adopts conventional equipment and materials, is flexibly applied to construction of large-diameter pile foundations, saves the manufacturing cost and is worthy of popularization.

The invention relates to the technical field of channel coding and decoding. The invention discloses a parity check polarization code construction method and device, a terminal and a storage medium. The parity check polarization code with error detection capability can be generated. The construction method of the parity check polarization code comprises the following steps: acquiring a polarization code constraint matrix; constructing an information set based on the polarization code constraint matrix, constructing a constraint set based on the polarization code constraint matrix, constructing a frozen set based on the constraint set, and constructing a verification set based on the constraint set; constructing a parity check polarization code based on the information set, the frozen set and the check set; in the decoding process of the parity check polar code, parity check bits in the check set are used as information bits, and check is carried out according to a linear constraint relationship between the parity check bits and the information bits in the information set after decoding, so that effective code words are obtained.

The present invention belongs to the technical field of solid-state hard disks, and provides an enhanced error correction method, a data reading and writing method, and a solid-state hard disk, wherein the enhanced error correction method comprises: S1. Reading a Raid stripe to perform the first RaidEcc error correction; S2. When the error of the Raid stripe exceeds the error correction capability of the RaidEcc, dividing the stripe unit to be corrected in the Raid stripe to obtain a number of data units; S3. Randomly selecting a data unit to perform the second RaidEcc error correction to obtain an operation result; S4. Splicing the operation result with the data unit to obtain spliced ​​data, and performing LDPC decoding processing on the spliced ​​data; S5. If the decoding is successful, performing descrambling processing on the data successfully decoded by LDPC; if the decoding fails, returning to step S3. The present invention further divides the Raid stripe processed by the RaidEcc error correction to obtain smaller data units, and performs the RaidEcc error correction operation on the data unit to increase the error correction capability of the RaidEcc.

This invention relates to a reversible and reapplicable land parcel mapping method, comprising: loading target land parcel data; binding a map canvas; establishing map event listening and location status reception; determining the point type, status, and region component corresponding to the current operation; constructing a corresponding edit command object; executing the edit command object to generate modified data; writing the executed reversible edit command object into a reversal history queue, and maintaining the reversal history queue and the reapply queue; and extracting the target edit command object to realize the reversal or reapply of the land parcel mapping results. The reversible and reapplicable land parcel mapping method designed using this invention can solve the problems of existing map mapping processing, such as lack of stable operation rollback capabilities, high maintenance difficulty, easy occurrence of untraceable operations, difficulty in state recovery, and unstable maintenance of historical records.

The invention discloses a high-robustness lossless high-capacity audio watermark embedding method based on deep learning, and relates to the technical field of digital watermarking. The method comprises the following steps of audio-watermark information preprocessing, watermark information embedding and watermark embedding detection and judgment. According to the method, the original audio and the watermark information to be embedded are correspondingly preprocessed, so that the quality of the original audio and the watermark information is effectively improved, the subsequent embedding process is more efficient and accurate, then the preprocessed audio and watermark information are input into the audio embedding network to output the watermark audio, and the watermark embedding efficiency is improved. According to the method, high-capacity watermark information is embedded, audio distortion in the embedding process is effectively avoided, the quality of the embedded audio is guaranteed, finally, the stability and the anti-jamming capability of the embedded watermark can be effectively detected by introducing adversarial training attack simulation, the audio distortion is reduced to the maximum extent while the watermark capacity is guaranteed, and the watermark quality is improved. And the anti-interference capability of the watermark is improved.

The application relates to the field of wireless communication technologies, and provides a communication method and apparatus, so that a fading channel can implement a good error correction capability. This helps improve information transmission reliability. The method includes: A transmit end device determines, based on N bit sets, a first sequence and a second sequence that are obtained through quadrature amplitude modulation QAM. The first sequence includes N in-phase components, and the second sequence includes N quadrature components; or the first sequence includes N quadrature components, and the second sequence includes N in-phase components, where N is an integer greater than or equal to 2. Then, the transmit end device performs interleaving processing on the first sequence, to obtain a third sequence. Then, the transmit end device sends, to a receive end device, a symbol sequence determined based on the second sequence and the third sequence. The symbol sequence includes N QAM symbols.

The invention relates to the field of information storage, in particular to an effective error correction method and system based on DNA data storage IDS channel multiple outputs. The method comprises the following steps: carrying out internal coding on an input information bit sequence and then carrying out external coding to generate an external coding bit sequence; mapping to obtain a DNA base sequence, and segmenting the DNA base sequence into M sections of short sequences; m * N short output sequences are obtained through N parallel IDS channels; performing splicing through SPM algorithm processing to obtain a consensus sequence; decoding the consensus sequence through synchronous decoding, and then decoding through an ENMS algorithm; and iteration is carried out on the synchronous decoding and the ENMS algorithm through a joint iterative algorithm. According to the method, multiple outputs are obtained through the parallel IDS channels, the consensus sequence is obtained by combining the segmented progressive comparison algorithm with the homologous information of the multiple outputs, errors in the DNA synthesis and sequencing process can be effectively avoided, then decoding is performed by using the synchronous decoding and ENMS algorithm, joint iteration is performed, and the error correction performance is further improved.

The invention discloses a model training method and device, a text error correction method and device, equipment, a medium and a product, and is applied to the technical field of artificial intelligence. The method comprises the following steps: firstly, carrying out word segmentation on a training text, and mapping to high-dimensional embedded representation so as to obtain target word vector representation through conversion, namely, the process of BERT embed; according to the scheme, the target word vector representation is input into the initial text error correction model for reinforcement learning, the method combines BERT embdingings and the aggregation operation of the reinforcement learning unit, training is completed only through few texts, the semantic relation can be captured, error correction of grammar, punctuation marks and words can be achieved, and meanwhile the text representation and classification capacity is improved. The method can adapt to an official document error correction scene, and has a good error correction effect.

The invention discloses an in-well ultra-long cable communication system and method based on polarization coding, and relates to the field of wired communication. The system comprises in-well telemetry equipment, ground communication equipment and an upper computer, the method comprises the following steps: firstly, performing OFDM modulation on original data in a well based on polarization coding; then carrying out digital-to-analog conversion on the modulated OFDM signal; the analog signal is transmitted to ground communication equipment, and an OFDM sampling signal is acquired; and finally, demodulating the OFDM sampling signal, and displaying and storing the OFDM sampling signal according to a preset data frame format to complete acquisition and storage of data in the well. Polarization coding adopted by the method is suitable for high-speed data transmission in a well, and especially under the condition that the requirement for the data transmission rate is high, coding and decoding mechanisms of the polarization coding can be utilized, and the bit error rate is reduced; in a well cable communication environment with large noise and interference, polarization coding can distribute information bits to reliable channels through polarization characteristics of the polarization coding, so that the anti-interference capability is improved.

The invention relates to the technical field of artificial intelligence, and discloses a medical voice-to-text error correction method, device and equipment and a medium, and the method comprises the steps: constructing a multi-modal medical voice model, initializing the multi-modal medical voice model according to the parameters of a visual encoder and a text encoder of a visual language pre-training model, and carrying out the pre-training of the multi-modal medical voice model; receiving the paired medical image and the text report after error simulation to train a multi-modal medical voice model; constructing a medical voice-to-text error correction model according to the voice-to-text model and the trained multi-mode medical voice model, and receiving to-be-corrected voice and a medical image corresponding to the voice to train the medical voice-to-text error correction model; and performing medical voice-to-text error correction on the input medical voice by adopting the trained medical voice-to-text error correction model. And the medical voice-to-text conversion effect is improved.

The invention discloses a context-based Chinese intelligent error correction and text optimization system, which belongs to the technical field of natural language processing, and comprises a context semantic coding module, a multi-dimensional error detection module, a literary style perception module, a language authentic degree evaluation module and a self-adaptive error correction optimization module, the context semantic coding module realizes multi-granularity semantic coding through a hierarchical attention mechanism; the multi-dimensional error detection module is used for detecting homophone errors, similar character errors, idiom misuse and grammar errors in parallel; the literary style perception module identifies the literary style type of the text and provides targeted optimization; the language tunnel degree evaluation module evaluates the language tunnel degree and recommends alternative expressions; the self-adaptive error correction optimization module synthesizes the output of each module to generate an error correction result, and realizes closed-loop parameter optimization based on user feedback, the error correction accuracy reaches 96%, and the Chinese writing quality is effectively improved.