66 results about "Block code" patented technology

The invention relates to the technical field of spacecraft satellite-ground communication, and provides a low-earth-orbit satellite communication time delay optimization method and system aiming at the defects that a traditional low-earth-orbit satellite communication satellite system and a satellite communication frame have high time delay and poor real-time communication function. The core of the invention comprises three parts: firstly, an efficient receiving and transmitting end coding and decoding technology: a transmitting end adopts a subblock coding technology of a Turbo code; and a receiving end uses an MAX-Log-MAP algorithm to carry out rapid iterative decoding on the word block code of the Turbo code. And secondly, compressing the user data: carrying out lossless compression on the user data and a satellite communication frame header by using Huffman coding, reducing the transmission data volume, improving the data processing speed, and thus reducing the processing time delay. And finally, simplifying the frame header design: optimizing the frame header of the communication frame so as to reduce the total length of each frame. The method is particularly suitable for communication satellites (the orbit height is less than or equal to 1500km) in a low earth orbit.

The application relates to the technical field of distributed applications, and discloses a document synchronization method for code change, which comprises the following steps: in response to a code deployment request, monitoring code change through a change capturing engine and obtaining a unified change set; performing document paragraph positioning on an interface definition file according to the unified change set, constructing a change-paragraph mapping list and a document synchronization task; performing acceptance review on the document synchronization task based on acceptance rules to obtain a review result; and making a decision based on a blocking condition and the unified change set, the change-paragraph mapping list and the review result to determine whether to block code deployment and complete document synchronization. The method can realize accurate positioning of abstract code change to technical document paragraphs, form a unified and feasible evidence chain to jointly drive a document synchronization process and decision-making. The application further discloses a document synchronization device for code change and electronic equipment.

The invention provides a low earth orbit satellite network video code rate determination method and device and electronic equipment. The method comprises the following steps: acquiring link state information of a low earth orbit satellite network link; predicting whether a link reconstruction event occurs at the next moment based on the link state information; and under the condition of predicting that a link reconstruction event occurs in the low earth orbit satellite network link at the next moment, dividing a time domain into independent control intervals, and independently determining the video block code rate at the next moment based on the network state of the independent control interval in each independent control interval. According to the method, the satellite network reconstruction event is predicted, and the video code rate is independently determined in the interval mode in the reconstruction event period, so that the video live broadcast experience quality in the low-orbit satellite network environment is improved.

The invention discloses an aircraft shape high-precision aerodynamic design method and device based on a quantum discrete adiabatic algorithm, and relates to the technical field of quantum computing. The method comprises the following steps: constructing a linear system model according to target aerodynamic data based on a computational fluid mechanics method; based on the cyclic shift basis matrix, according to the sparse coefficient matrix and the source item vector, performing block coding by using a linear combination unitary operator technology to obtain a block coding unitary operator; based on a preset iteration operator, constructing a walking operator according to the block coding unitary operator; according to the walking operator, line preparation is carried out through a cyclic calling method, and a quantum solving line is obtained; executing a quantum solving line, and measuring flow field quantum state information; and based on the target aerodynamic data, according to the flow field quantum state information, carrying out high-precision aerodynamic optimization design on the shape of the aircraft by utilizing an aerodynamic integration method. The high-precision aerodynamic design method for the aircraft profile is efficient and accurate based on the quantum discrete adiabatic algorithm.

The invention discloses a coal mine image segmentation model and method based on VMama and a multi-expert hybrid network and a construction method thereof. The coal mine image segmentation model is constructed, the image block coding layer output of an encoder, the input and output of the first coding layer of a first VSS network are 1-N, and the input and output of an output end feature learning module are 1-N; the multi-expert hybrid network determines N expert models with relatively high scores based on a gating mechanism to perform enhancement processing to obtain a result, and the result is obtained through feature fusion; and the input of the feature learning module at the input end of the decoder is obtained by fusing the output and the features, the output of the decoding layer is obtained by fusing the features, and the input and the output of the segmentation head are segmented images. The method can significantly improve the segmentation precision and calculation efficiency of the coal image.

A multi-stage decoding algorithm for improving the decoding performance of bits encoded with a linear error-correcting block code of small or medium block length is provided. The algorithm comprises an input stage, at least two intermediate stages and an output stage. For each of the stages (except for the last intermediate stage and the output stage), a certain number of bit positions is selected and set to a maximum possible absolute LLR value. The output data of each stage is used to compute the input data of the next stage. Each of the intermediate stages executes a specified number of parallel decoding runs, and the input data for each of the intermediate stages is generated based on the output data of the previous intermediate stage and initial LLRs obtained after demodulation. The bit positions set to the maximum possible absolute LLR value in the previous stage cannot be used again in the next stage. At the output stage, only one decoding run is executed, for which input data are formed based on the initial LLRs and the LLRs obtained at the last intermediate stage.

This invention discloses a multidimensional coupled chain code encoding method based on generalized integrated interleaving codes. It selects d-dimensional chain codes from s-dimensional chain codes for generalized integrated interleaving encoding, resulting in the l-th... i The code length of the wiry chain code is [value], and the information bit length is [value]. The remaining (s-d) wiry chain code is encoded, and the l′ [value] is [value]. i' Wirachain codes use linear block codes with a code length of and an information bit length of as the basic code, and the sequence c... (t) Initialize to an all-zero sequence; set the information sequence u Divide into sL groups. For the l-th dimensional zip code, divide into groups of length k. t,l -m t,l sequence u (t,l) With a length of m t,l sequence w (t,l) The data is fed into a multiplexer to obtain a length of k. t,l sequence a (t,l) The sequence is fed into a basic code encoder for encoding to obtain a codeword sequence. Simultaneously, the sequence is fed into a generalized integrated interleaved code encoder for encoding to obtain another codeword sequence. c (t,0) , c (t,1) ,…, c (t,s‑1) The encoded output sequence c at time t is obtained by feeding it into the multiplexer. (t) This invention has the advantages of simple coding, ease of implementation, and good performance.

This invention provides a high-sensitivity satellite navigation signal acquisition method. It utilizes an improved acquisition algorithm based on FFT coefficient compensation and block code Doppler compensation to acquire satellite navigation signals, obtaining the acquisition result. This invention effectively reduces the impact of Doppler frequency offset during long coherent acquisition times through coefficient-compensated FFT operations and the block code Doppler compensation algorithm. When calculating the FFT spectrum, only the spectral lines at specified positions need to be calculated, effectively shortening the calculation time, improving acquisition efficiency, and achieving high-sensitivity acquisition of weak signals.

Affine multi-HMVPs are described. In an example aspect, a method for video processing includes deriving, for a conversion between a current block of a video and a bitstream representation of the current block, an affine model of the current block based on affine-related information stored in at least one of a plurality of history motion vector prediction (HMVP) buffers storing affine-related information of blocks coded before the current block in different categories, and performing the conversion by using the derived affine model.

The application discloses a decoding method, device and readable storage medium, and belongs to the technical field of communication. The method comprises the following steps: a decoding end determines a coding coefficient vector according to a received signal and a new space-time block code (NSTBC) codebook; the decoding end determines the power sum of the sending symbols on the sending antenna in the first two symbol periods according to the received signal; and the decoding end decodes original coding input symbols in a current symbol period according to the coding coefficient vector, a differential space-time block code (DSTBC) coding mode, the NSTBC codebook and the power sum of the sending symbols on the sending antenna in the first two symbol periods, wherein the first two symbol periods are two adjacent symbol periods before the current symbol period.

Provided is a transmission device comprising: a polarization time block coding unit that performs space-time coding with respect to a transmission signal, thereby generating a polarization phase modulation signal; a quadrature phase signal generation unit that generates, for each polarized wave, a quadrature phase signal of a dual polarization phase modulation signal generated by the polarization time block coding unit; and a transmission unit that alternately transmits the dual polarization phase modulation signal and the quadrature phase signal of each polarized wave on the time axis.　

For a transform block of a frame of a video encoded with conventional residual coding, if an inferred sub-block of a transform block of an sb codeflag is not present is a DC sub-block and / or the last one of transform blocks containing a non-zero coefficient level, the decoder inferes that the sb codeflag of that sub-block is 1. And otherwise, inferring that the sb coded flag is 0. If a transform block is encoded using transform skip residual encoding, the sb coded flag of a sub-block in which no sb coded flag exists is estimated to be 1. The decoder determines an initial context value of an entropy coding model based on the sub-block flag of the inferred sub-block, and determines a sub-block flag of the encoded sub-block using the entropy coding model.

The invention belongs to the technical field of communication signal processing and code identification, and solves the problem of channel code identification when a non-cooperative communication system lacks coding parameter prior information and training data with labels. According to the technical scheme, the method is characterized in that a unified recognition framework is constructed based on five features, namely, a rank fluctuation feature is used for distinguishing convolutional codes and linear block codes, a continuous zero spectrum feature is used for recognizing BCH codes, a multi-dimensional structure feature is used for detecting Turbo product codes, a bit distribution deviation feature is used for recognizing polarization codes, and an average absolute column correlation feature is used for distinguishing LDPC codes and non-LDPC codes; blind recognition of five types of channel codes including BCH codes, LDPC codes, convolutional codes, Turbo product codes and polarization codes is achieved. The method does not depend on coding parameter prior information, does not need training, is high in recognition rate under a low signal-to-noise ratio, is high in generalization capability, and is suitable for real-time and resource-limited scenes.

The present disclosure discloses a block code service apparatus. The block code service apparatus according to the present disclosure comprises: a command analysis unit that generates at least one embedding vector on the basis of a user command; a database management unit that manages a database of a plurality of block codes each configured in a block code format; a block selection unit that selects, from among the plurality of block codes, at least one block code corresponding to the at least one embedding vector; and a block connection unit that connects the selected block codes to generate an artificial intelligence model.

A method and apparatus for video encoding and decoding are disclosed. According to the method, for a current second patch encoded in a cross-component linear model related mode, a list of most probable linear model modes is generated, the list comprising one or more most probable linear model candidates selected from a list of candidates. Mode selection information associated with the list of most probable linear model modes is signaled or parsed. And encoding or decoding the current second color block by using a target candidate selected from the most probable linear model mode list according to the mode selection information, and generating prediction data of the current second color block by applying a current linear model related to the target candidate to the current first color block.

A memory device includes a boot block that stores boot block code encoded using an encoding scheme. The boot block code includes a set of machine-readable instructions for booting the memory sub-system. A read command directed at the boot block is received while the memory device is in a boot state. Based on the command, the encoded boot block code is read from the boot block and decoded based on the encoding scheme. The decoded boot block code is provided to a memory sub-system controller responsive to the command

Methods for video decoding and encoding, apparatuses and non-transitory computer- readable storage media thereof are provided. One method for video decoding includes obtaining, by a decoder, a current block coded with Geometric Partition Mode (GPM); obtaining, by the decoder, a first Intra Block Copy (IBC) prediction and a second IBC prediction based on partitions using GPM for the current block; receiving, by the decoder, coding modes of the current block; and obtaining, by the decoder, a final prediction for the current block using the first IBC prediction, the second IBC prediction, and the coding modes of the current block.

The application provides a point cloud coding method, device and storage medium. The method comprises the following steps: acquiring a point cloud, and performing block division on the point cloud to obtain a current block; acquiring first information of the current block, and determining whether to use a macro block coding mode to code the current block according to the first information of the current block. For example, according to at least one of the division depth of the current block, the size of the bounding box of the current block, the number of points in the current block and the point density in the current block, it can be accurately judged whether the current block is coded by using the macro block coding mode, thereby improving the coding efficiency of the current block.

The invention discloses an anti-APT attack power grid process real-time protection method, system and device and a medium, and the method comprises the following steps: installing a monitoring program in an operation system of a power grid RTU device, and collecting system operation data through the monitoring program; analyzing the system operation data, and identifying hostile attack behaviors in a set time window through behavior association analysis; and when a malicious attack behavior is identified, positioning the position of a malicious instruction and covering the malicious instruction by using a blocking code to prevent a malicious program from being continuously executed. According to the method, a lightweight monitoring program is deeply embedded into a kernel scheduling chain of an operating system, the key technology breakthrough of power grid RTU equipment safety protection is achieved, in the aspect of timeliness, a shadow page table mechanism and a behavior correlation analysis technology are adopted, the time from threat detection to defense response is shortened to the microsecond level from the second level of a traditional scheme, and the safety of power grid RTU equipment safety protection is improved. And real-time protection in a real sense is realized.

For a transform block of a frame of video encoded with regular residual coding, a decoder infers the sb coded flags of a sub-block of the transform block that is not present to be 1 if the inferred sub-block is a DC sub-block and / or the last sub-block in the transform block that contains a non-zero coefficient level. Otherwise, the sb coded flag is inferred to be 0. If the transform block is encoded with transform skip residual coding, the sb coded flag of a sub-block that is not present is inferred to be 1. The decoder determines an initial context value for the sub-block flags of an inferred sub-block based on the sub-block flags of the sub-block and uses the entropy coding model to determine the sub-block flags of the encoded sub-block.

The invention discloses a floating point tensor data auditing method and device, equipment and a storage medium. The floating point tensor data auditing method comprises the following steps: dividing floating point tensor data to be processed into a plurality of blocks with fixed sizes; performing block coding on the floating point tensor data in each block to obtain block floating point tensor data; and in a block chain node, auditing the block floating point tensor data. According to the method, the floating-point tensor data is subjected to block processing, the floating-point tensor data is compressed and calculated in a block floating-point representation mode, and the data scale is remarkably compressed, so that the on-chain storage and bandwidth overhead is reduced, and the on-chain auditing efficiency is improved. The method can be implemented on the intelligent contract and consensus mechanism of the existing block chain platform (such as Ethereum, Fabric and the like), and has relatively high landing capability.

A radar device includes a transmitting antenna unit, a modulator, a receiving antenna unit, a receiver, and a processor. The transmitting antenna unit includes transmitting antennas. The modulator generates transmission signals respectively provided to the transmitting antennas by executing phase-shift keying through diverging the common signal into diverged signals having the number being equal to the number of the transmitting antennas and rotating respective phases of the diverged signals. The receiving antenna unit includes at least one receiving antenna. The receiver generates a received code of at least one received signal. The received code is acquired by encoding an appearance pattern of a peak of at least one received signal on a Doppler frequency axis. The processor generates information related to an object, according to the received code generated by the receiver. The modulator executes the phase-shift keying by using a linear block code as an assigned code.

Provided is a decoding method using polarization time block coding (PTBC) and a decoding device for performing the decoding method. The decoding method includes branching received symbols consecutively received according to a symbol period into two paths, delaying a first received symbol corresponding to a first path between the two paths by the symbol period in which the received symbols are received, performing a complex conjugate operation on a second received symbol corresponding to a second path between the two paths, compensating for channel distortion of the first received symbol delayed by the symbol period and the second received symbol on which the complex conjugate operation is performed, through an equalizer in the decoding device, and restoring a transmission symbol by performing phase restoration on the first received symbol and the second received symbol for which the channel distortion is compensated for, through a phase compensator in the decoding device.

Methods, systems, and devices for wireless communications are described. A transmitting device may support shaping of bits in block encoding schemes and a probabilistic shaping framework to generate shaped bits that include both information bits and shaping bits, without conveying extra information (e.g., in addition to the shaped bits) to a receiving device. The transmitter may use a decoder such as a polar decoder (e.g., a modem configured for both coding and decoding) to determine a set of shaping bits based on the information bits. The transmitting deice may also map information bits to frozen bit locations of the polar code, and the shaping bits to information bit locations of the polar, such that the encoded (e. g., shaped) bits from the polar encoder satisfy a target probability distribution.

The invention relates to the technical field of quantum machine learning, in particular to a quantum machine learning model training method and device based on block coding, and the method comprises the steps: obtaining input data and a loss function of a target layer in a to-be-trained quantum machine learning model; coding a transpose matrix of the input data and a target first gradient block to the quantum circuit to obtain a first quantum circuit; the target first gradient is a gradient of an output data relative loss function obtained by the input data passing through a target layer; operating the first quantum circuit to obtain a second gradient of the parameter of the parameter-containing non-unitary matrix relative to the loss function; and updating the parameter of the parameter-containing non-unitary matrix according to the second gradient so as to update the value of the loss function and the target first gradient until the loss function reaches a training cut-off condition. According to the method, more functions of the classic neural network can be fitted and simulated, the loss function of the classic neural network can be optimized more easily by combining the parallel computing advantage of quantum computing, the parameter gradient in a quantum machine learning model can be calculated conveniently, and the number of quantum line operation times is greatly reduced.

The application belongs to the teaching application field of information technology, and provides a classroom teaching mode analysis system and method based on a large language model, which comprises the following steps: (1) interactive audio extraction in a classroom teaching video; (2) conversion of dialogue audio into interactive text, matching of the text and a voice actor, and output of the interactive text in a dialogue form; (3) construction of an education mode prompt word; and (4) classroom teaching mode analysis, wherein the interactive text in the dialogue form obtained in step (2) is subjected to block coding, and then each block coding vector and the prompt word generated in step (3) are jointly input into a large language model, all output results are fused based on probability and weight, and a final classroom teaching mode analysis result is obtained. The application provides a new approach for classroom teaching video teaching mode analysis, and promotes intelligent understanding of a classroom teaching process.

Neural Normalized MinSum (N-NMS) decoding for improving frame error rate (FER) performance on linear block codes over conventional normalized MinSum (NMS). Dynamic multiplicative weights are assigned to each check-to-variable message in each iteration to efficiently provide training parameters of N-NMS that support N-NMS for longer block lengths. Embodiment are described for neural two-dimensional normalized MinSum (N-2D-NMS) decoders requiring fewer training parameters. The N-2D-NMS approaches for example use the same weight for edges with the same check and / or variable node degree. Simulation results indicate that that this LDPC decoding performs similarly to previous techniques while substantially reducing the amount of training necessary.

The embodiment of the application belongs to the field of artificial intelligence, and relates to a text abstract generation method based on semantic blocks, comprising the following steps: obtaining sample data, performing component syntax analysis on the sample data to obtain a syntax tree, determining semantic blocks according to the syntax tree, inputting the semantic blocks into a pre-constructed initial text abstract model, encoding the semantic blocks to obtain semantic block codes, performing weighted calculation on the semantic block codes to obtain semantic block sequence vectors, performing attention mechanism calculation on the semantic block sequence vectors to obtain semantic block relationship vectors, inputting the semantic block relationship vectors into a CRF layer for training, outputting a predicted classification result, calculating a loss function, adjusting model parameters of the initial abstract generation model based on the loss function, ending iteration, generating a text abstract model, inputting a text to be processed into the text abstract model, and outputting a text abstract. The application also provides a text abstract generation device based on semantic blocks, equipment and a storage medium. The application can make the abstract more concise and refined.

Disclosed examples relate to extracting a magic state on a quantum computing device, the magic state encoded in a [[n, k, d]] block code including an outer code. One example provides a method that includes preparing an encoded noisy magic state using data qubits and measuring a Clifford stabilizer on the data qubits, thereby applying an inner code. The method further includes initializing output qubits and initiating a teleportation of an extracted magic state derived from the encoded noisy magic state to the output qubits. The method further includes measuring an X stabilizer on the data qubits, post-selecting based on the result, destructively measuring each data qubit with a Z stabilizer, and applying one or more post-selection conditions to the data qubits to complete the teleportation of the extracted magic state to the output qubits.