11results about How to "Improve error correction performance" patented technology

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.

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 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 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.

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 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.

This invention discloses a multi-bar driven adaptive headlight transmission device and its control method, relating to a vehicle adaptive lighting system. The device includes a multi-bar driven angle adjustment assembly, a headlight assembly, and a fail-safe rod. The multi-bar driven angle adjustment assembly comprises at least three sets of angle adjustment push rods. Each push rod includes a base, a movable end, and a drive mechanism that drives the movable end to move axially relative to the base. The push rods are circumferentially and evenly arranged around the headlight assembly, and their movable ends hinged to support the headlight assembly. The bases of the push rods are hinged and fixed in the same plane. This invention employs a multi-push rod parallel transmission structure, which greatly enhances mechanical strength and vibration resistance. There is no accumulated transmission error, resulting in high motion accuracy. Furthermore, if the motor of one push rod fails, the adaptive lighting function can be partially restored through motion compensation from other push rods. It also has a fault reset function.

The application provides a target detection and early warning method, device, system and medium based on data fusion. The method comprises the following steps: acquiring point cloud data and infrared images of a target detection object synchronously, fusing the point cloud data and the infrared images of the target object, obtaining point cloud image fusion data, and then using a three-dimensional neural network model to detect the point cloud image fusion data to obtain type information and three-dimensional information of the target detection object. The target detection method provided by the application can realize accurate three-dimensional detection of the target detection object in various application scenarios, has relatively low dependence on the sensing performance of an infrared acquisition device and a laser radar, has a certain error correction capability for target mis-detection and missed detection, has relatively small data processing amount, and has low demand for the computing power of a target detection device.

The application discloses a Chinese text correction method based on retrieval enhancement and candidate reordering, and relates to the technical field of text correction, and comprises the following steps: constructing a high-quality structured knowledge base; inputting a to-be-corrected original sentence into two pre-trained mask language models to obtain a first and a second correction candidate sentence respectively, and recording the positions of error characters; replacing the characters at the corresponding positions in the to-be-corrected original sentence with mask identifiers for the error character positions in the error position set to generate a retrieval sentence with masks, and obtaining external reference knowledge through database retrieval; splicing the external reference knowledge and the to-be-corrected original sentence into a prompt word, and inputting the prompt word into a large language model to obtain a third correction candidate sentence; merging the three correction candidate sentences to obtain a multi-source correction candidate set; calculating the comprehensive scores of the candidate sentences in the set; and selecting the candidate sentence with the highest score as the final correction result output. The application solves the problems of semantic drift and uncontrollable generation when a large model corrects the existing Chinese text.