249 results about "Error correction coding" patented technology

The method focuses on the technical field of communication, and the communication connection problem under the cooperative operation scene of the unmanned vehicle and the unmanned aerial vehicle is accurately positioned. In practical application, communication connection is troubled by a complex environment, signals are prone to strong interference, the transmission distance is obviously limited, and double requirements of real-time performance and accuracy are difficult to consider in the aspect of data transmission characteristics during cooperative operation of the two. According to the invention, ZigBee, 5G, satellite communication modules and multi-mode communication modules are integrated, an adaptive protocol is optimized, channels are sensed in real time, the channels are selected and switched through an intelligent algorithm, signals are enhanced through directional antennas and beam forming, interference resistance is realized through adaptive filtering and error correction coding, and stability is guaranteed by means of link monitoring and a self-healing mechanism. According to the method, reliable interaction of data between the unmanned vehicle and the unmanned aerial vehicle in a complex environment can be ensured, and real-time and accurate transmission of monitoring data can be ensured even in case of strong electromagnetic interference or severe weather.

The invention relates to a multi-dimensional transmission data compression sensing method and system for urban emergency rescue, and the method comprises the steps: obtaining multi-modal data, carrying out the normalization processing and sparse representation, and obtaining the sparse coefficient of each modal; constructing a block diagonal random matrix for each modal sparse coefficient to perform independent compression sampling, generating a low-dimensional observation value before coding, and performing arithmetic coding and low-density parity check code error correction coding to generate an anti-interference code stream; and performing low-density parity check code decoding and arithmetic decoding on the anti-interference code stream to obtain a decoded low-dimensional observation value, performing iteration by using an orthogonal matching pursuit algorithm, recovering sparse coefficients of each mode, performing reconstruction to obtain text, image and audio features, and projecting the text, image and audio features to a shared semantic space to obtain a shared semantic space. And calculating a joint semantic weight through a cross-modal attention mechanism, and generating a multi-modal fusion result with consistent semantics. The method disclosed by the invention provides an efficient, robust and semantic collaborative end-to-end solution for urban emergency rescue.

The invention relates to an underwater optical communication LDPC (Low Density Parity Check) coding processing method. The method comprises the following steps: determining a current channel quality grade based on a real-time communication distance and channel state information; dynamically selecting LDPC (Low Density Parity Check) coding parameters and modulation orders in combination with equipment mobile data and channel quality levels, and generating an adaptive parameter combination; performing error correction coding on the data according to the selected parameters and generating an optical communication signal; transmitting to a receiving end through an optical channel; and dynamically updating the coding parameter and the modulation order based on the feedback information of the receiving end. According to the method, the problem that a traditional fixed coding scheme is insufficient in error correction capability or wastes resources in a dynamic distance scene is solved by predicting the equipment moving trend and the channel state in real time and adaptively adjusting the coding parameters and the modulation mode, the error rate is remarkably reduced, the communication efficiency is improved, and the method is suitable for a complex and changeable underwater optical communication environment.

A wireless communication apparatus and method using probabilistic constellation shaping in connection with modulation. A wireless transmission device may determine a sequence of amplitude symbols from a sequence of information bits using a distribution matcher (DM) configured for probabilistic amplitude shaping. The device may further apply error correction coding to encode an information block corresponding to at least a portion of the sequence of amplitude symbols. And the device may generate a sequence of output symbols for transmission based on the encoded information block. The device may apply interleaving to one or more of the sequence of amplitude symbols, the information block, the encoded information block, or a combination of the sequence of amplitude symbols and the encoded information block, for the generating of the sequence of output symbols.

There is provided a method in a node of a wireless communication network. The method comprises receiving from an application a protocol data unit (PDU) set corresponding to an encoded application data unit (ADU). The method further comprises determining an Application-Layer Forward Error Correction (AL-FEC) coding configuration associated with the encoded ADU and transmitting the PDU set. The method further comprises determining whether a cease criterion is satisfied, wherein the cease criterion is based on the AL-FEC coding configuration, and ceasing transmission of the PDU set based on the cease criterion being satisfied.

The invention provides a data management method and system based on optomagnetic fusion storage, and belongs to the field of data management.The method comprises the steps that target data are obtained, data feature information is collected, and data popularity analysis is carried out; a basic storage scheme is determined according to data popularity, and intelligent decision-making of optical storage, magnetic storage or fusion storage is realized through data criticality analysis and popularity critical coefficient evaluation; predicting a storage loss parameter according to the data popularity and the storage scheme, and optimizing an error correction code or erasure code parameter in combination with the data criticality; and finally, implementing data management according to the determined storage scheme and optimization parameters. The technical problems that a traditional storage system cannot intelligently distribute storage media according to data characteristics, and access efficiency and storage safety are difficult to balance are solved, self-adaptive selection of a storage scheme and optimization of storage quality are achieved, and efficiency and reliability of data management are improved.

The invention discloses a customer information storage management method and system based on a block chain, and relates to the technical field of distributed data evidence storage, and the method comprises the steps: collecting terminal customer information, generating an encrypted data packet, carrying out erasure coding, and generating an encrypted data fragment set; carrying out distributed storage based on the encrypted data fragment set, and calculating a data availability commitment at the same time; executing availability sampling according to the data availability commitment, and generating a fragment validity proof; based on the fragment validity proof, performing format and validity verification to obtain a to-be-processed proof set; and generating a recursive aggregation proof according to the to-be-processed proof set, and submitting the recursive aggregation proof to the block chain to verify and update a proof storage state. And cryptographic authentication is carried out on the persistent evidence storage state of the data assets, so that the dual beneficial effects of ensuring data privacy and credible evidence storage are achieved.

The invention provides a fusion type secure storage system, electronic equipment, a data management method and a computer readable storage medium. The system comprises a hardware security layer, an encryption processing layer, a verification error correction layer, a data stream processing layer and an intelligent management layer which are in communication connection, the hardware security layer provides a physical trusted root for the system and executes a security policy; the encryption processing layer is used for carrying out encryption processing on data based on the security service provided by the physical trusted root; the verification and error correction layer is used for carrying out integrity verification and self-adaptive error correction coding on the encrypted data; the data stream processing layer is used for executing a near data calculation task on the data subjected to verification and error correction; and the intelligent management layer collects real-time state data from the hardware security layer, the encryption processing layer, the check error correction layer and the data stream processing layer, and performs dynamic strategy configuration and global optimization decision, thereby improving the active calculation, dynamic adaptation and intelligent optimization capabilities of the system.

The invention discloses an AI and GIS combined natural resource space-time mapping knowledge domain construction method, which is suitable for intelligent mapping and dynamic management of natural resource space units. GIS data are acquired, multi-scale spatial range automatic identification is carried out, and map nodes are constructed; then, introducing crowd LBS behavior data, and establishing an edge relationship between dynamic nodes; a spatial topological structure between nodes is automatically learned by adopting a graph convolutional network model, and intelligent classification and correlation prediction between spatial units are realized; extracting node attribute codes, service type codes and state label codes, constructing a two-dimensional code data string, generating a standard two-dimensional code image through error correction codes and formatted information, and embedding the standard two-dimensional code image into node data; and a terminal user can access the atlas data by scanning a code and trigger permission verification and call log records. According to the method, automatic space structure identification, dynamic map updating and lightweight calling are realized, and the intelligence, integration and safety of natural resource data management are improved.

The invention relates to an FPGA-based satellite-borne file adaptive storage and scheduling method, which comprises the following steps: defining a data plane and a control plane, the data plane being responsible for high-frequency and high-speed data processing, and the control plane being responsible for low-frequency and low-speed data management and decision making; the data plane obtains a real-time data stream to be stored and stores the real-time data stream into a data cache; monitoring the running state of the data cache in real time, generating cache state data and reporting the cache state data to a control plane; the control plane makes a strategy decision based on the cache state data to generate a target strategy instruction; the data plane obtains the instruction and carries out hardware priority judgment in combination with cache state data so as to determine a final data writing instruction; and the data plane responds to the write-in instruction, executes error correction coding processing, data write-in and file verification processing, and reports a file closing state to the control plane. The method has the advantages that the system can dynamically respond to the real-time system load, and the stability and reliability of system scheduling are improved.

The invention discloses a data management system based on unmanned aerial vehicle surveying and mapping, and particularly relates to the technical field of data management. The method comprises the steps of collecting unmanned aerial vehicle surveying and mapping data, and performing space coordinate registration and unified coding; performing spatial region division according to the terrain elevation variable coefficient and the obstacle projection coverage rate to obtain a high-density verification region and a low-density verification region; for the high-density verification area, calculating the feature matching degree of an overlapping area of adjacent frames through a local feature matching algorithm, and outputting first correction data; performing data compensation on the low-density verification region by adopting spatial interpolation and cubic spline interpolation to generate second correction data; generating a full-scene reconstruction data frame based on the first correction data and the second correction data; based on full-scene data frame reconstruction, region weight factor distribution, differential error correction coding execution and unmanned aerial vehicle surveying and mapping result data output, the spatial adaptability of data verification is effectively improved, and the overall accuracy and integrity of unmanned aerial vehicle surveying and mapping data are improved.

The invention discloses a soft decoding method and device, a medium and a product, and relates to the technical field of error correction coding, and the method is applied to a low-density parity check code, and comprises the steps: obtaining a target low-density parity check code with an information node and a check node containing an erasure bit; and allocating a preset non-zero log-likelihood ratio to the erasure bit on the check node, and executing first soft decoding. And if the first soft decoding fails, judging whether to carry out second soft decoding or not based on the weight of the syndrome generated by the first soft decoding and the number of the erasure bits on the information node. If it is judged that the second soft decoding needs to be carried out, a preset non-zero log likelihood ratio is distributed to the erasure bit located on the information node, and the second soft decoding is carried out. According to the method and the device, the erasing bits on different nodes are conditionally processed in stages, so that the success rate and the efficiency of decoding are effectively improved.

Disclosed in the present disclosure are a memory coding method, a memory decoding method, an apparatus, an electronic device and a storage medium. The coding method comprises: acquiring a data block to be written and a known word string corresponding to said data block; performing error correction coding on said data block and the known word string to obtain error correction information; and splicing the data block and the error correction information to obtain an error-correcting code codeword, and storing same into a memory. The known word string is introduced to undergone error correction coding together with the data block, so as to increase the length of coded data and ensure the protection capability of error-correcting code codewords, and then the data block and the error correction information are spliced to obtain the error-correcting code codeword to be written into the memory. Since the known word string is introduced for error correction coding, when the error-correcting code codeword protects one data block, the strong error correction capability of the error-correcting code codeword having high code length can still be ensured, and the memory access granularity becomes a basic access unit, such that the problems of read amplification and write amplification can be overcome when the data block is updated, thus weakening the contradiction between the code length of the error-correcting code codeword and the memory access granularity.

The invention provides a physical frame structure design method suitable for satellite-ground high-order high-bit-rate wireless communication, which comprises the following steps of: slicing service data according to a preset length, and generating a baseband frame based on the obtained data slices; performing scrambling processing on the baseband frame to obtain a scrambled baseband frame; sequentially executing preset error correction coding processing on the scrambled baseband frames to obtain coded frames; performing internal interleaving processing on the coding frame to obtain internal interleaving data, and forming a first physical frame; performing external interleaving processing on the first physical frame to obtain external interleaving data; mapping the outer interleaved data into a symbol stream; performing physical frame framing based on the symbol stream to obtain a second physical frame; and performing scrambling processing on the to-be-scrambled symbols except the physical frame header in the second physical frame to obtain a scrambled physical frame, and performing modulation based on the scrambled physical frame to perform data transmission, thereby improving phase noise resistance and channel distortion resistance, enhancing Doppler frequency shift resistance, and optimizing transmission efficiency and reliability.

The invention discloses an industrial remote controller system based on a LoRa technology and a real-time reliable communication control method thereof, and belongs to the technical field of industrial wireless control, and the method specifically comprises the steps: collecting communication link quality parameters, constructing a multi-dimensional link quality evaluation model, and outputting a link quality score; a LoRa physical layer parameter is dynamically adjusted by using a fuzzy logic decision algorithm based on the score, an optimized parameter configuration table is obtained, a bidirectional handshake protocol is established, and an encrypted instruction-response data packet is generated; the central coordinator allocates time division multiple access time slots according to the link quality score, and the industrial remote controller sends encrypted data in the corresponding time slots by using hybrid error correction codes; the controlled equipment receives the data execution instruction, generates a feedback data packet containing an execution state, and returns the feedback data packet to the industrial remote controller through a time division multiple access time slot; the method improves the real-time performance and reliability of the communication of the industrial remote controller.

The invention relates to the technical field of electronic data collection, in particular to a secure data transmission method for an EDC system, and the method comprises the steps: carrying out the semantic layering of a data package, and setting target transmission reliability for the data of different semantic hierarchies; the network transmission state is evaluated in real time, the minimum redundancy required for achieving the target transmission reliability is dynamically calculated, and forward error correction coding parameters are determined; carrying out adaptive forward error correction coding on data of different semantic hierarchies according to the parameters, and carrying out hierarchical transmission according to priorities; and the receiving end carries out progressive reconstruction and instantly presents the reconstructed data. Through the technical scheme of the invention, accurate calculation and application of appropriate redundancy protection can be realized according to the data value and the real-time network quality, reliable transmission of high-value data is ensured in a weak network environment, and the transmission efficiency is improved to the greatest extent.

The invention relates to the technical field of computers, in particular to a block chain right-confirming forestry remote sensing data ontology feature recognition method and system, and the method comprises the steps: extracting the multi-scale features of forestry remote sensing image data through a pre-trained deep convolutional neural network, and generating a feature pyramid with an unchanged rotation and scale; a time-space fusion feature vector is generated by combining seasonal attention weight adjustment, and forestry remote sensing image fingerprints are formed after principal component analysis and dimension reduction; a fuzzy commitment is adopted to bind the random key after error correction coding with a forestry remote sensing image fingerprint to generate a block chain evidence storage commitment, and a storage architecture with on-chain evidence storage and under-chain metadata collaboration is constructed; and efficient right confirmation is realized. The problem that a traditional Hash method is sensitive to image deformation is solved, the problem of feature drift caused by seasonal changes is solved, verifiable right confirmation is achieved, the method has the advantages of being high in storage efficiency, high in response speed and the like, a credible ownership authentication basis is provided for forestry remote sensing data sharing, and the data circulation efficiency is remarkably improved.

A geometry-aware method of writing parity, performed by a storage system is provided. The method includes writing data, using error correction coding, to a RAID stripe comprising a plurality of allocation units of storage memory of the storage system, and writing one or more parity pages comprising parity data for a block having a portion of the data of the RAID stripe in one of the plurality of allocation units of the RAID stripe to a targeted differing word line of the block or a differing block, the parity data for the block distinct from the error correction coding of the RAID stripe.

The invention discloses a national secret SSL handshake communication method based on a quantum key, and relates to the technical field of quantum communication, and the method comprises the following steps: point-to-point connection is established between two communication parties through a quantum communication link, and the two communication parties are respectively a sender and a receiver; a sender uses a single photon source to generate and send a group of quantum bits to a receiver according to a predetermined quantum coding mode, and the receiver measures the received quantum bits through a quantum detection device to obtain a corresponding measurement result. According to the method, the quantum state in the quantum communication link is monitored in real time, the potential collapse risk prediction is carried out in combination with the deep neural network, the redundancy is automatically adjusted when the risk is found, error correction coding is carried out, and thus the anti-interference capability is improved. By introducing an anti-interference structure and dynamic redundancy adjustment, key distortion or communication interruption caused by quantum state collapse is effectively avoided, smooth key negotiation is ensured, and the reliability and data security of a communication link are remarkably enhanced.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure discloses a method and an apparatus for error correction coding in a communication system, more specifically, to error correction coding integrated with transmission diversity.

In one aspect, a method includes receiving, in a first wireless device, a data transmission including at least one orthogonal frequency division multiplexing (OFDM) packet from a second wireless device; processing the at least one OFDM packet to recover data and providing the data to a host processor of the first wireless device; encoding, in the first wireless device, at least one decoded symbol of the at least one OFDM packet using forward error correction coding; processing the encoded at least one decoded symbol to recover at least one corresponding transmission symbol of the at least one OFDM packet; and determining a distance estimate between the first wireless device and the second wireless device based at least in part on the corresponding transmitted symbols.

The present invention provides a hidden watermark writing method and a readable storage medium. The hidden watermark writing method calculates the maximum number of repetitions using at least two preset hidden watermark encoding algorithms, and uses this to determine whether to select the appropriate hidden watermark encoding algorithm or report an error. If no error is reported, the method writes the maximum number of repetitions corresponding to the selected hidden watermark encoding algorithm into the input image to generate an output image with the hidden watermark. This configuration, by selecting the appropriate encoding algorithm and repeating the algorithm the appropriate number of times, takes into account both high-resolution and low-resolution input images, combining the advantages of repetition encoding and error correction encoding, resulting in a high accuracy watermark extraction result for both high-resolution and low-resolution images, thus resolving the problems existing in the prior art.

There is provided a sensing data processing apparatus including: a conversion unit that acquires sensing data output from a sensing unit having a plurality of sensor elements arranged in a two-dimensional array, converts the sensing data into digital data, and outputs a result as information data; an encoding unit performing error correction encoding on the information data and generating redundant data; and a control unit dynamically changing a data amount of the information data and a data amount of the redundant data based on temperature data acquired from a temperature sensor provided in the sensing unit.

The invention relates to the field of hardware simulation, and provides an encoding and decoding method, an encoder, a decoder, a programmable logic device and a hardware simulation system.The method is applied to a first PLD in the hardware simulation system, the hardware simulation system comprises a plurality of PLDs, and the method comprises the steps that an original data sequence is obtained, and the original data sequence comprises 6N pieces of original data; 6 pieces of original data in the 6N pieces of original data are coded through the coding matrix to obtain 4 pieces of coded data, the 6 pieces of original data are the 6i-5th to 6i-th pieces of original data in the original data sequence, and i is a positive integer smaller than or equal to N; a first data sequence is sent to a second PLD, the first data sequence comprises 10N pieces of first data, and the 10i-ninth to 10i pieces of first data in the first data sequence comprise 6 pieces of original data and 4 pieces of coded data. According to the method, error correction coding and decoding with low error rate and low time delay can be realized in a hardware simulation system.

The invention relates to a spread spectrum underwater acoustic communication coding and decoding method, which comprises the following steps of: performing dual-channel coding modulation, sequentially performing CRC (cyclic redundancy check) coding, serial-parallel conversion, multi-system error correction coding and interleaving operation on an information bit stream at a transmitting end, then performing spread spectrum modulation on a code element by using a pseudorandom sequence, and finally mapping modulation output of an I channel and a Q channel into a baseband signal, and a spread spectrum underwater acoustic communication signal is formed through pulse shaping and up-conversion processing. According to the method, the communication accuracy is improved through a dual-channel incoherent and coherent redundancy decoding mode and an opportunity cross validation decoding mode.

This invention discloses a method for embedding a hidden two-dimensional dot matrix watermark using a splicable, cut-out, and fully embedded method. It includes: (1) data normalization encoding; (2) data information signature; (3) multiple error detection and correction encoding; (4) two-dimensional dot matrix; (5) pseudo-random scrambling of the dot matrix data; (6) scale matching with the associated carrier image; (7) generation of a two-dimensional dot matrix point cloud; and (8) embedding the hidden two-dimensional dot matrix point cloud into the associated carrier image. This invention is an information hiding method based on the combination of reliability encoding and printed image processing in modern communication technology using two-dimensional coded dot matrices. It can hide anti-counterfeiting marks, images, or text within printed images to achieve information anti-counterfeiting and information traceability. This method improves the anti-attack capability of the two-dimensional dot matrix and overcomes the problem of unreadable information caused by image damage or misjudgment during printing and optical image acquisition.

The invention discloses a two-dimensional code recognition and defect repair method and device, and the method achieves the effective integration of visible light, infrared and ultraviolet image features through the collection and preprocessing of a multi-modal image, greatly improves the feature recognition degree of a two-dimensional code under a complex background, and solves a problem that a conventional method is poor in adaptability to the complex background. According to the lightweight convolutional neural network defect detection model, pixel-level defect segmentation and multi-dimensional classification are realized, a defect severity grading mechanism is combined, an accurate basis is provided for intelligent defect evaluation, and the defect of lack of intelligent evaluation in the prior art is made up; for self-adaptive repair strategies of defects of different types and levels, the advantages of multiple algorithms such as texture synthesis, error correction coding and geometric correction are fused, and the repair precision of the two-dimensional code is greatly improved; a closed-loop verification mechanism of repair and recognition realizes linkage optimization of a repair process and a recognition result by dynamically adjusting repair parameters, and the problem of low efficiency caused by separation of repair and recognition is effectively solved.

A communication method, apparatus, and system are provided. An apparatus (such as a channel interleaver) can acquire a first coded bit sequence, wherein the first coded bit sequence is obtained by rate matching a second coded bit sequence; divide the first coded bit sequence into blocks; and perform channel interleaving on the blocks in a predefined order, wherein the channel interleaving is applied to the first coded bit sequence before modulation and transmission to the channel. The ability to divide the first coded bit sequence into blocks for channel interleaving enables block-level interleaving with higher parallelism, improving flexibility, simplifying operation, and achieving higher throughput, while also providing stable or better performance under high-order modulation or fading channels.

Communication devices, communication methods, and communication systems capable of achieving high communication performance. suggest. [Solution] The communication device is a communication device that performs wireless communication using multiple channels, and comprises a generation unit that generates multiple bit sequences with different contents by applying a predetermined encoding process based on a predetermined error correction coding scheme to a transmission data sequence, and a distribution unit that distributes the multiple bit sequences to the multiple channels.

An embodiment of the present application provides an underwater acoustic coding method and device for an adaptive cross-domain gateway operation, the method comprising: receiving a preset test signal sent by a transmitter before transmitting information, determining the corresponding current time period channel state according to the test signal and a preset least squares method, performing time series analysis according to the current signal-to-noise ratio in the current time period channel state, predicting the channel state for the next time period, and judging the channel quality of the channel state for the next time period based on a numerical comparison relationship between the predicted signal-to-noise ratio in the channel state for the next time period and a preset threshold; if it is determined that the channel state for the next time period is poor, selecting an error correction coding scheme with a lower coding rate and a higher error correction redundancy from a preset coding scheme library; if it is determined that the channel state for the next time period is good, selecting an error correction coding scheme with a higher coding rate from the preset coding scheme library; the present application can optimize channel utilization efficiency and reduce energy waste.