33 results about "Channel code" patented technology

The invention discloses a soft network system capable of expanding a transmission mode and an implementation method, and the system comprises an equipment resource mapping management unit which automatically generates a unique channel code based on a native hardware interface and establishes a multi-dimensional mapping relation; the heterogeneous interface data acquisition unit is used for monitoring various hardware interfaces in a kernel space in parallel and realizing zero-copy data transmission through a three-buffer lockless annular buffer area; the transmission abstraction and dynamic expansion unit realizes transmission mode modularization in a plug-in form and supports atomic hot plug during operation; the protocol analysis and service processing unit is used for realizing unified scheduling and fault isolation in a single process through a dynamic link mechanism; and the cross-layer monitoring and self-healing unit realizes automatic switching based on a session state machine and a redundant channel. According to the method, the code complexity is reduced from O (N * M) to O (N + M), and the time lt is extended; fault switching is carried out at 1s; and the hardware cost is reduced by more than 40%, so that the method is particularly suitable for power and environment monitoring scenes with more than 1000 devices and more than 15 protocols, and has high creativity.

The invention belongs to the technical field of power load prediction, and relates to a power load prediction method based on interpretable multi-mode enhancement, which comprises the following steps: 1, constructing a text representation mode of an original load time sequence through a multi-mode enhancement module; 2, time sequence modal information and text representation information of the load are embedded into a high-dimensional vector space through a two-channel coding module; 3, receiving an embedded vector of a time sequence mode through a multi-mode prediction module, and taking a representation vector of a multi-mode text as input; 4, realizing an interpretable multi-mode alignment module; according to the method, the effects among the multi-modal information are divided into uniqueness, redundancy and collaboration; by constructing a negative sample pair for training, alignment of multi-modal information representation is enhanced, and then the prediction performance of the model is improved.

This application discloses a code block processing method, apparatus, device, and readable storage medium, relating to the field of communication technology, to ensure the reliability of MTN networks. The method includes: if an MTN channel code block carrying an fgMTN channel is incorrectly marked, or the code block contains an invalid synchronization header, or the code block is a control code block with an invalid type field, or the code block is an erroneous code block, replacing the fgMTN channel code block carried within the MTN channel code block with the erroneous code block. Embodiments of this application can ensure the reliability of MTN networks.

The application discloses a kind of LDPC code decoding methods for reducing error flat layer based on column layering, belong to channel coding technical field.The decoding of LDPC code is susceptible to the influence of trap set in high signal-to-noise ratio area, information transmission approach is blocked in the decoding process, leading to decoding failure, performance curve drops and flattens, limiting its application in some low error flat layer required scenarios.This method groups all variable nodes in the decoding process by column, all variable nodes in a group are processed in parallel, after decoding failure caused by decoding into trap set, the process of post-processing is increased, according to the check result of check node, the weight of check node transmitting information to variable node is modified, and the final result is obtained by decoding again.The application can effectively make the decoding process jump out of trap set, significantly improve the performance of LDPC code in high signal-to-noise ratio area, and reduce error flat layer.

The present disclosure relates to a channel coding method and device, electronic equipment, storage medium and computer program product, the method comprising: at a data sending end, encoding a first k-ary remainder vector based on a target RRNS encoder to obtain a first n-ary remainder vector; transmitting the first n-ary remainder vector from the data sending end to a data receiving end using a target channel; at the data receiving end, obtaining a second n-ary remainder vector from the target channel, and decoding the second n-ary remainder vector based on a target RRNS decoder to obtain a third n-ary remainder vector, the target RRNS decoder comprising at least one target RRNS encoder, and the third n-ary remainder vector being obtained after error correction of the second n-ary remainder vector. The embodiments of the present disclosure are effectively applicable to high-performance low-latency data transmission scenarios, and the decoding process can reuse the encoder logic, thereby increasing the hardware circuit reusability and expandability.

This invention relates to the field of adaptive semantic coding, specifically to an adaptive relay semantic coding method based on deep learning. The scheme includes: constructing a relay semantic communication system based on a deep neural network, the system consisting of a transmitter, relay nodes, and a receiver, including a direct link from the transmitter to the receiver, a relay receiving link from the transmitter to the relay, and a relay forwarding link from the relay to the receiver. A half-duplex DF relay system is adopted, i.e., the relay operates on two orthogonal time slots or frequency bands, such that the relay's reception and decoding of block t corresponds to its forwarding of block t+1. At the transmitter, a bitstream is generated through deep semantic source coding and entropy coding and interfacing with digital channel coding. Simultaneously, half-duplex DF relay is introduced, and cooperative gain is obtained through random binning and two-stage continuous decoding. An end-to-end distortion calculation model is established under finite code length conditions, and finally, joint optimization is performed. This invention is applicable to adaptive semantic coding.

The embodiment of the invention discloses a picture processing method and device. The method is executed on a C / C + + layer, and comprises the following steps: in response to a detected picture shooting request, calling a dynamic library corresponding to a camera function, and obtaining initial picture data shot by a camera through the dynamic library; performing signature processing on the initial picture data to obtain initial picture data including a digital signature; performing format conversion and alpha channel coding processing on the initial picture data to obtain intermediate picture data including an alpha channel coding value, the intermediate picture data being used for being added with a watermark by a client to obtain a target picture; and in response to a storage or uploading request for the target picture, verifying the digital signature and the alpha channel coding value included in the target picture, and detecting whether the target picture has a tampering risk or not according to a verification result. Through the method, the tampering difficulty of the picture data can be increased, meanwhile, whether the picture data has the tampering risk or not can be effectively detected, and the authenticity of the picture data is ensured.

The invention relates to an impedance adjusting circuit and a semiconductor device including the same. An impedance adjustment circuit includes a calibration circuit and a code update circuit. The calibration circuit performs an impedance adjustment operation to generate a source impedance code in response to activation of the impedance adjustment enable signal. The code update circuit performs a first channel code update operation according to the source impedance code to update the first channel impedance code when a first channel code update request signal is input. When a second channel code update request signal is input, performing a second channel code update operation according to the first channel impedance code to update the second channel impedance code; and blocking the second channel code update operation when the second channel code update request signal is input while the first channel code update operation is performed.

The application discloses a data broadcast method, a service server, a terminal device and a storage medium. The method comprises the following steps: acquiring a plurality of service data of different service types to be broadcast, and determining a corresponding broadcast channel of each service data in a preset broadcast channel based on the service type of each service data in the plurality of service data; using a preset channel layer data protocol, performing channel coding on each service data based on the corresponding broadcast channel of each service data, to obtain a plurality of groups of single-channel data frames corresponding to the plurality of service data; using a preset link layer data protocol, performing link coding on the plurality of groups of single-channel data frames based on a preset channel priority of the corresponding broadcast channel of each service data, and determining the coded data as to-be-broadcast data; and performing data broadcast on the to-be-broadcast data through the preset broadcast channel. Through the technical scheme, the efficiency of data broadcast is improved.

The invention discloses a multi-channel optical diffraction neural network image classification method based on inter-class similarity decomposition, and the method comprises the steps: calculating a class center vector through a pre-training network, constructing an inter-class similarity matrix, and decomposing a multi-class task into a plurality of sub-tasks; configuring an independent optical channel for each subtask, and generating a multi-channel coded word table; constructing a multi-channel optical diffraction neural network, and synchronously training each channel by adopting a joint loss function; during reasoning, a test image is propagated through a network, and a final classification result is obtained through coding word decoding. According to the method, decoupling and parallel optical calculation of multi-class tasks are realized, and the accuracy and expandability of the shallow optical diffraction neural network in multi-class classification are effectively improved.

The embodiment of the application discloses a block storage-based cutting method and device, the method comprising: obtaining a plurality of storage blocks to be allocated; numbering the plurality of storage blocks according to a preset order, and establishing an allocation index for the plurality of storage blocks according to the numbering; pre-allocating the plurality of storage blocks to a plurality of channels according to channel parameters of the audio / video storage channels and the allocation index, and adjusting the storage blocks allocated by the channels according to changes of the storage channels and / or storage disks; the channel parameters comprising: channel code rate, channel capacity, channel number and channel retention period; the changes of the storage channels and / or storage disks comprising: deleting a channel, adding a channel, channel offline, channel re-online, deleting a storage disk and adding a storage disk. Through the embodiment, the time consumed by block selection is eliminated, the recorded audio / video is prevented from being lost, the utilization rate of the storage blocks is improved, the integrity and stability of the monitoring storage system are improved, and the read / write efficiency is improved.

The embodiment of the invention provides a model training method and device. A source coding and decoding model and a channel coding and decoding model can be jointly trained. The method comprises the steps that a model training device obtains channel coding and decoding algorithm information and information source coding and decoding algorithm information, the channel coding and decoding algorithm information is used for indicating a model structure of a first coding and decoding model, and the information source coding and decoding algorithm information is used for indicating a model structure of a second coding and decoding model; the model training device carries out training based on the channel coding and decoding algorithm information and the information source coding and decoding algorithm information to obtain at least one of the weight of the first coding and decoding model and the weight of the second coding and decoding model.

The invention provides a target detection method based on a unified diffusion model and multi-modal data fusion, and belongs to the field of computer vision and multi-modal information processing, and the method comprises the steps: constructing a composite scene tensor through a visible light image, an infrared image and a target detection result, inputting the composite scene tensor into a dual-channel coding multi-modal encoder, and carrying out the dual-channel coding of the multi-modal encoder; extracting the features of the noise-added composite scene tensor by using a parameter-frozen U-Net encoder trunk to obtain a prior feature sequence; fusing the visible light multi-scale feature sequence, the infrared multi-scale feature sequence and the prior feature sequence to obtain multi-scale condition features; inputting the noise-added composite scene tensor and the multi-scale condition features into a diffusion denoising network to obtain predicted noise and a denoising composite field tensor; according to the method provided by the invention, multi-modal fusion and target detection are deeply unified on the architecture level through the composite scene tensor and the parameter frozen U-Net encoder.

The invention provides a coding and decoding method and a communication device. The method comprises the following steps: determining the length of a bit sequence to be coded; a segmentation number C corresponding to the bit sequence to be coded is obtained, the value of C is related to the coding bit number G used for transmitting the transmission block and the coding length N0 of the polarization code, and N0 is integer power of 2; determining an output bit sequence based on the first TBS and the C, the first TBS being a TBS closest to the length of the to-be-coded bit sequence and not less than the length of the to-be-coded bit sequence; and performing polarization coding based on the N0 and the output bit sequence. The value of C is related to G and N0, and the output bit sequence is determined according to the first TBS and the segmentation number C, so that the length of a code block corresponding to each segment of bit sequence after the output bit sequence is segmented based on C is greater than or equal to N0, the complexity of rate matching can be reduced, and the channel coding and decoding performance can be improved.

The invention discloses a method and equipment for monitoring the health condition of a payment channel in real time. The method comprises the following steps: maintaining response codes of payment channels and corresponding code value meanings thereof; obtaining related transaction index data of the payment channel in real time, obtaining a response state according to the channel response code and the payment channel code value data dictionary, and sending the transaction index data to a specified main body; receiving the transaction index data, and classifying and converging the transaction index data; calculating each health index according to the classified and converged data in the last set time interval; and calculating the total score of each channel according to each calculated health index in a weighted manner, and sending alarm information when each health index exceeds a set index threshold value and / or the total score is lower than a set score threshold value. According to the invention, differentiated automatic operation and maintenance monitoring alarm strategies can be formulated according to the advantages and disadvantages of the channels, the manual operation and maintenance success rate is reduced, the payment service success rate is improved, the expansibility is strong, and the real-time performance is high.

The invention provides a multi-channel code pattern generator output synchronization method and device, and the method comprises the steps: carrying out the data branching processing of a PRBS signal outputted by each channel code pattern generator, and taking any signal obtained through the branching processing as a signal to be subjected to phase discrimination; performing phase detection on the signal to be subjected to phase discrimination corresponding to each channel code pattern generator to obtain a phase offset; sampling the phase offset to obtain a synchronous seed value of the PRBS signal; the synchronous seed values are fed back to the channel code pattern generators for seed updating, and updated seed values are obtained and used for enabling the channel code pattern generators to output phase-synchronized PRBS signals. According to the invention, the problem that the PRBS signals independently generated by multiple channels are difficult to correct in phase alignment and high-precision synchronization is achieved in the prior art is solved.

The invention relates to the technical field of engineering equipment, and particularly discloses an equipment operation information high-precision identification method for a complex scene test video. The objective of the invention is to solve the problems of missing detection, false detection and inaccurate positioning of action information caused by multi-scale change, action shielding, strong noise interference and difficult time-space dynamic collaborative modeling in a complex equipment operation scene in a traditional target detection technology. Comprising the steps of video data preprocessing, multi-branch residual 3D convolution dynamic action feature extraction, path aggregation network 2D feature enhancement and decoupling, spatial-temporal feature fusion based on feature interactive modeling, and action information identification based on reconstruction of an anchor-free Center Net network. According to the method, the 2D pyramid spatial features, the 3D multi-branch residual spatial-temporal features and the channel coding attention mechanism are fused, and a path aggregation network and an improved anchor-free Center Net structure are combined, so that multi-scale dynamic modeling and high-precision anchor-free automatic detection of equipment operation action information in a complex scene test video are realized.

A communication method and apparatus. The method comprises: acquiring a first modulation and coding scheme (MCS); on the basis of a first code type or a second code type that corresponds to the first MCS, coding information bits to be transmitted, so as to obtain first data, wherein both the first code type and the second code type are used for coding a data channel; and transmitting the first data. By using the solutions in the embodiments of the present application, multiple code types can be utilized to code a data channel, thereby improving the overall communication performance of a system.

The present application relates to the technical field of optical detection, and more particularly to a micro-nano grating line deviation rapid detection method and system; the present application adopts coding illumination technology to construct a structured complex light field, breaks through the single-channel detection limit through multi-channel parallel illumination; based on Fourier space multi-frame imaging, composite diffraction spot distribution data is obtained; the coherence and time correlation characteristics that cannot be obtained by traditional intensity measurement are obtained by using the second-order intensity correlation function; a joint forward physical model is constructed, and the grating complex amplitude distribution and line edge roughness parameters are reconstructed by using an iterative inversion algorithm to detect the micro-nano grating line deviation; the present application combines multi-channel coding illumination and second-order intensity correlation function analysis, reduces the measurement time through parallel detection, improves the detection reliability by using the redundant information between channels, and significantly improves the detection efficiency while ensuring the accuracy.

The invention discloses a coupon code generation method. The method comprises the following steps: receiving a coupon code generation request with request parameters; wherein the request parameters include but are not limited to a timestamp, a product category to which the coupon belongs, a channel code and a coupon type; distributing the coupon code generation request to a target processing node by using a load balancing algorithm; determining an encoding rule of a coupon code based on a service demand, and encoding the request parameter according to the encoding rule; generating a preset number of coupon codes by adopting a snowflake algorithm according to the encoded request parameters; according to the invention, diversified service requirements can be met according to different service scenes, the uniqueness of the generated coupon code is ensured, and the security and practicability of coupon code generation are improved.

Methods, systems, and devices for wireless communication are described. Some energy harvesting (EH)-capable devices may implement channel coding for backscatter-based communications (e.g., backscatter communications may be encoded using error correction codes). The same mother code may be used with different coding rates, for example based on puncturing or shortening applications. The EH-capable device may use the same mother code and different coding rates for backscatter-based communications based on operating conditions at the EH-capable device. For example, the mother code may be an (N, K) block code, and the EH-capable device may adjust the coding rate by applying S-bit shortening. As another example, the mother code may be a convolutional code using a defined number K of input information bits and a defined number N of encoded output bits, and the EH-capable device may adjust the coding rate by applying P-bit puncturing.

The invention relates to the field of adaptive semantic coding, in particular to an adaptive relay semantic coding method based on deep learning. According to the scheme, a relay semantic communication system based on the deep neural network is constructed, the system is composed of a transmitting end, a relay node and a receiving end and comprises a direct link from the transmitting end to the receiving end, a relay receiving link from the transmitting end to a relay and a relay forwarding link from the relay to the receiving end, and a half-duplex DF relay system is adopted; a relay works on two orthogonal time slots or frequency bands, so that receiving and decoding of the t-th block by the relay correspond to forwarding of the t-th block on the (t + 1)-th block, a bit stream is generated at a transmitting end through deep semantic source coding and entropy coding and is in butt joint with digital channel coding, and meanwhile, a half-duplex DF relay is introduced; cooperative gain is obtained through random binning and two-stage continuous decoding, an end-to-end distortion calculation model is established under the condition of limited code length, and finally joint optimization is carried out. The method is suitable for adaptive semantic coding.

The present application belongs to the technical field of error control in digital information transmission, and particularly relates to a low-delay transmission error correction method for high-resolution remote sensing data for water conservancy surveying and mapping, which comprises the following steps: obtaining water surface propagation environment parameters corresponding to a water conservancy surveying and mapping unmanned aerial vehicle, calculating water surface Rayleigh roughness parameters and vertical polarization electric field reflection coefficients, determining a dynamic check byte length according to a comparison result of the water surface Rayleigh roughness parameters and Rayleigh roughness critical constants and in combination with the vertical polarization electric field reflection coefficients, performing forward error correction coding on high-resolution remote sensing data according to the dynamic check byte length, writing a dynamic check byte length identifier into a frame header control field and sending the dynamic check byte length identifier to a ground receiving station, and selecting decoding parameters and recovering high-resolution remote sensing data according to the dynamic check byte length identifier at the ground receiving station. The present application matches channel coding parameters with water surface propagation environment, improves transmission reliability, and reduces check byte redundancy and transmission delay.

This invention discloses a parallel interleaving system and method for multi-channel convolutional coding. The technical solution includes: a convolutional coding module sending generated multi-channel coded data and two punctured valid flag signals; an interleaving write address generation module sending two generated interleaving write addresses; a ping-pong read / write gating module sending generated ping-pong read / write gating signals and gating the coded data and interleaving write addresses; performing an interleaving write operation; an interleaving read address generation module sending multi-channel interleaving read addresses; gating the interleaving read addresses; performing an interleaving read operation and sending interleaved data; using dual-port RAM for synchronously switched interleaving read / write operations; and the system stopping operation. This invention reduces the complexity of convolutional coding and has the advantages of low complexity, low clock speed, high throughput, and high reliability.

The invention discloses a production sorting scheduling system capable of realizing sorting of products according to production lists and channels and improving sorting efficiency and success rate. Comprising at least two production lines, a distributing and converging device, at least two sorting areas, a loop line conveying device with different loop area conveying lines, a code scanning recognition device comprising a loop area distributing code scanner and a channel opening code scanner, and a dispatching control device. The scheduling control device is configured to execute code reading service processing logic, fault service processing logic and blocking service processing logic; wherein the execution of the code reading service processing logic comprises the following steps of: matching a production order based on an SN code read by a sub-ring area code scanner, and controlling the shunting and converging equipment to distribute products to corresponding ring area conveying lines according to a channel set by the production order; and a production order is matched on the basis of the SN code read by the separation opening code scanner, and the products entering the specific sorting area are distributed to the sorting operation opening distributed for the matched production order according to the matched production order.

The invention provides an efficient homomorphic calculation method for neural network privacy reasoning, and belongs to the technical field of cryptographic protocol design in privacy calculation. Through collaborative design of input channel coding in the first step, weight preprocessing in the second step, small-step self-isomorphism in the third step, plaintext and ciphertext multiply-accumulation in the fourth step and large-step self-isomorphism and accumulation in the fifth step, the number of output ciphertexts is remarkably reduced by utilizing the characteristics of self-isomorphism, so that the communication overhead is reduced, efficient communication is realized, and the communication efficiency is improved. And the method has a wide application scene.

An impedance adjustment circuit includes a calibration circuit and a code update circuit. The calibration circuit performs an impedance adjustment operation to generate a source impedance code in response to activation of an impedance adjustment enable signal. The code update circuit performs a first channel code update operation to update a first channel impedance code according to the source impedance code when a first channel code update request signal is input, performs a second channel code update operation to update a second channel impedance code according to the first channel impedance code when a second channel code update request signal is input, and blocks the second channel code update operation when the second channel code update request signal is input while performing the first channel code update operation.

The invention relates to the technical field of optical detection, in particular to a method and a system for rapidly detecting line deviation of a micro-nano grating. According to the invention, a structured composite light field is constructed by adopting a coding illumination technology, and single-channel detection limitation is broken through through multi-channel parallel illumination; obtaining composite diffraction spot distribution data based on Fourier space multi-frame imaging; obtaining coherence and time correlation characteristics which cannot be obtained by traditional intensity measurement by using a second-order intensity correlation function; constructing a joint forward physical model, reconstructing grating complex amplitude distribution and line edge roughness parameters through an iterative inversion algorithm, and carrying out micro-nano grating line deviation detection; according to the method, multi-channel coded illumination and second-order intensity correlation function analysis are combined, the measurement time is shortened through parallel detection, the detection reliability is improved by utilizing inter-channel redundant information, and the detection efficiency is remarkably improved while the precision is ensured.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may obtain a message vector. The wireless communication device may generate a set of message sub-vectors using the message vector. The wireless communication device may generate, using a common input linear layer, a set of message embedding vectors corresponding to the set of message sub-vectors. The wireless communication device may generate, using an artificial neural network, a set of codeword embedding vectors corresponding to the set of message embedding vectors. The wireless communication device may generate, using a common output linear layer and the set of codeword embedding vectors, a set of codeword sub-vectors permutation-equivariant relative to the set of message sub-vectors. The wireless communication device may combine the set of codeword sub-vectors to generate a codeword vector and may transmit a communication carrying the codeword vector.