17 results about "Source encoding" patented technology

A communication method and apparatus are disclosed. In this method, first data from the application layer of a fifth device is received, and second data is transmitted. The second data is data obtained by jointly source-coding and channel-coding the third data. The third data is determined based on the first data, and the entropy rate of the third data is less than that of the first data. Joint source-coding and channel-coding may include, for example, semantic feature extraction and channel-coded data. For instance, the third data is data obtained by processing the first data, and this processing may include one of the following: decryption, entropy decoding, sequential decryption and entropy decoding, or sequential entropy decoding and decryption. This reduces the entropy rate of the data, thus enabling joint source-coding and channel-coding of the third data.

A quantum source coding method includes: initializing a quantum register having a plurality of nodes: loading a unary-coded message into the quantum register; loading an address state into an address register of each message node of the quantum register; sorting the message nodes based on a data register such that the message nodes form a message-sorted sequence; and applying, for each message node at an end of the message-sorted sequence, a CNOT gate to the address state of each of the register's message nodes and output nodes. The method also includes: unsorting the message nodes; sorting the nodes based on the address register such that the nodes form a fully-sorted sequence; applying, for each pair of adjacent nodes in the fully-sorted sequence having the same address state, a CNOT gate to the data registers of each pair; and unsorting the nodes to return the fully-sorted sequence to the initial sequence.

A communication method and apparatus. The method comprises: receiving first data from an application layer of a fifth apparatus, and sending second data, wherein the second data is data obtained by jointly performing source coding and channel coding on third data, the third data is determined on the basis of the first data, and the entropy rate of the third data is less than that of the first data. The second data is data obtained by performing semantic feature extraction and channel coding on third data, and the third data is data obtained by performing processing on the first data. For example, the third data is data obtained by performing processing on the first data, and the processing comprises one of the following: decryption, entropy decoding, sequential decryption and entropy decoding, or sequential entropy decoding and decryption. In this way, the entropy rate of the data is reduced, and therefore, source coding and channel coding can be jointly performed on the third data.

The application provides a hybrid image lossless coding and decoding method and system based on frame-level rearrangement, relates to the technical field of image processing, and the coding method comprises the following steps: acquiring a hybrid image; performing block preprocessing on the hybrid image to obtain a plurality of subblocks; classifying the plurality of subblocks based on manually designed features and learning features to determine a classification result; performing frame-level rearrangement on the hybrid image according to the classification result to obtain a rearranged image; and performing lossless encoding on the rearranged image through a lossless encoding algorithm to generate a code stream containing frame-level rearrangement information. The hybrid image lossless decoding is realized, the super-high-definition hybrid image coding efficiency is effectively improved, the complexity is increased little, the open-source encoder is compatible, and the practical application is easy.

The application discloses a general image fusion method based on a task customization mixed adapter network, which comprises the following steps: a general image fusion network uses a pre-trained Vision Transformer as a backbone network to extract multi-source image features in a frozen double-flow network structure, obtains global attention through window cycle movement, and inputs a subsequent task customization mixed adapter network; in a training process, the task customization mixed adapter network customizes fusion prompts according to current sample features and a task to which a current sample belongs; a fusion layer obtains locally biased fusion features according to task customization prompts and source coding of multiple source images; the locally biased fusion features are returned to each source network backbone branch, the fusion features are injected into backbone features, and the features are reconstructed into a fusion image; the value of a fusion image loss and mutual information regularization is calculated respectively, the sum of the two values is obtained, and then back propagation is performed to train the network; and various fusion images are obtained by scaling and shifting the fusion prompts.

The application relates to the field of digital medicine, in particular to an emotion recognition method and device based on electroencephalogram (EEG) data, an equipment and a medium. The method is based on a source encoder and a classifier trained based on first type EEG data and corresponding emotion classification results, parameters of the source encoder are used to initialize a target encoder to obtain an initial target encoder, the source encoder and the initial target encoder encode the first type EEG data and second type EEG data respectively, a discriminator is used to discriminate the encoder to which the encoding result belongs, parameters of the initial target encoder are optimized according to the discrimination result, until the loss determined by the discrimination result is minimum, the optimized target encoder is used to encode the second type EEG data, the encoding result is input into the classifier, and a classification result is output as an emotion recognition result corresponding to the second type EEG data. Based on EEG data with a known emotion classification result, emotion recognition of another EEG data can be realized without other marking operations, and the recognition efficiency is improved.

This application discloses a communication method and apparatus. The method includes: transmitting first information, which indicates a first CQI index; receiving second information, which indicates a first MCS index, the first MCS index being determined based on the first CQI index, the first MCS index indicating a first encoding, the first encoding including one or more of compression encoding, source encoding, and channel encoding, wherein compression encoding is used to adjust the redundancy of data units; performing the first encoding on the first data unit to obtain a second data unit; and transmitting the second data unit. Since compression encoding can adjust the redundancy of data units and avoids error propagation effects as much as possible compared to entropy encoding, and joint source-channel encoding reduces the bit error rate compared to independent source-channel encoding, performing compression encoding and / or joint source-channel encoding on data units when channel quality is poor improves transmission performance.

The application relates to a real-time monitoring method and system for an underground cable channel construction process, wherein the method comprises the following steps: configuring a unique passive coding mark for each cable and a pipe; reading the passive coding information in real time during the construction process, recording the passive coding mark and position information of the cable and the pipe, and collecting auxiliary data to obtain the positioning characteristics of the pipe and the multi-modal characteristics of the cable; based on the positioning characteristics of the pipe and the multi-modal characteristics of the cable, adopting an automatic positioning matching algorithm to perform dynamic trajectory matching, three-dimensional fusion scoring and self-learning dynamic threshold adaptation, so that the automatic matching of the cable and the pipe is realized; and generating a visual three-dimensional construction model according to the matching result, so that dynamic digital monitoring of the whole construction process is realized. Compared with the prior art, the application can realize accurate matching of the cable and the pipe, has the advantages of effectively improving the construction precision and efficiency, reducing manual operation errors and the like.

The embodiments of the present disclosure herein address unresolved problems of communication from the semantic aspects. Embodiments herein provide a method and system for a semantic communication with networked AI in sixth-generation technology for wireless communications (6G). Here, rather than encoding the input and transmitting the encoded symbols, the semantically relevant information is inferred from the input as per the context of the application and that information is encoded through conventional source encoding and transmitted. Conversion of the actual input to semantic information allows a huge reduction in the bandwidth requirement for the end-to-end channel. On the receiver side, these symbols are first decoded to extract semantic information. The semantic information is further used to predict the semantically relevant output to carry out the intended meaning at the receiver side.

This application relates to a source coding method, apparatus, device, and medium. The method includes: obtaining the target bit probability and the source symbol probability of each source symbol; constructing a binary prefix code tree by recursively partitioning the Huffman algorithm based on the target bit probability and the source symbol probabilities; traversing the binary prefix code tree to obtain the binary prefix code of each source symbol, and constructing a Huffman codebook based on the binary prefix codes of each source symbol; and mapping the source symbol sequence to a compressed binary bit stream based on the Huffman codebook. This method enables probability shaping during source coding, thereby reducing efficiency losses.

The application discloses a kind of realization national key data tamper-proofing original only coding security system, belong to national key data security, localization encryption coding and special security chip technical field.This system is based on data original feature extraction and STE national secret level encryption coding, carry special chip of domestic security and original feature intelligent verification model, construct five big core modules of feature extraction, coding generation, encrypted storage, tamper monitoring, authority control.By extracting data own attribute, generating logic, attribution subject, timestamp four-dimensional original feature, generate unique binding, non-replicable original coding, combined with national secret encryption realizes data full life cycle closed loop tamper-proofing, data change triggers coding invalidation and locking early warning.System core index reaches standard, whole localization no cross-border technology dependence, applicable to government affairs, national defense and other key data protection scenarios, can prevent data tampering and forgery, build national data security line of defense, fill in the blank of domestic similar technology.

This invention discloses a system and method for querying and quoting automotive transmission parts based on multi-source coding intelligent matching, relating to the field of intelligent matching technology for B2B transactions of automotive parts. It includes a store terminal and a server. The server comprises an input acquisition module, a dynamic symbiotic association pool module, a parts supplier screening module, and a cross-validation and ecosystem enhancement module. This invention utilizes a four-dimensional input matrix, a dynamic symbiotic association pool, a dynamic weighted credibility mechanism, and a cross-validation closed loop to solve problems in B2B transactions of automotive transmission parts such as mixed coding, ambiguity in regional terminology leading to inaccurate matching, frequent false alarms and misreports, and long transaction cycles. It achieves improved accuracy and efficiency in cross-regional transaction matching, self-driven system optimization, dynamic inventory adaptation, and dynamic formation of industry terminology standards.

There is disclosed a channel decoder apparatus (40) for generating a vectorial feature representation as a vectorial feature representation (40a, 45) in a format specific of a source decoder (50), from a sequence of symbols (36), the vectorial feature representation (40a) representing a source signal (1, 5), the channel decoder apparatus being configured to apply at least one channel-decoder neural network, NN (40a, 42), to the sequence of symbols (36) or another representation (46a, 43a, 42a) of the sequence of symbols, thereby generating the vectorial feature representation in the format specific of the source decoder (50). There is disclosed a channel encoder apparatus (30) for encoding a source signal (1) received as a vectorial feature representation (20a, 21a) from a source encoder (20), the vectorial feature representation (20a, 21a) being in a vectorial format specific of the source encoder (20), the channel encoder apparatus (30) being configured to apply at least one channel-encoder neural network, NN (30a), to the vectorial feature representation (20a, 21a) in the vectorial format specific of the source encoder (20) or to another feature representation (22a, 23a, 24a, 25) of the vectorial feature representation (20a, 21a), to provide a sequence of symbols (35) from the vectorial feature representation (20a, 21a) or the other feature representation (22a, 23a, 24a, 25).

The application discloses a kind of multi-channel image semantic communication method and system, computer equipment belong to computer communication technical field, mainly solve the unstable problem of communication effect when data transmission is carried out using unreliable transmission protocol in prior art, including information sending end obtains image data to be transmitted, and using depth source encoder is extracted to the feature of the image data to be transmitted Processed, obtain feature semantic information to be transmitted;The information sending end uses the mode of multi-channel cooperative transmission to the feature semantic information to be transmitted Parallel cooperative transmission is carried out to information receiving end, obtains multiple receiving end sub-information;The information receiving end carries out multi-channel feature fusion processing to the receiving end sub-information, obtains multi-channel fusion information;The information receiving end is decoded to the multi-channel fusion information based on generative adversarial network model Processing, obtains target image data.

The application discloses a kind of electromagnetic wave instruction downlink method based on multiple encoding modulation, first ground sending end uses channel encoder to carry out octal LDPC code encoding to the instruction signal that has passed through signal source coding, obtains information sequence;Second modulator carries out QPSK modulation to information sequence, obtains modulated signal, and it is transmitted to downhole receiving end;Then downhole receiving end receives the modulated signal of transmission, and using demodulator carries out coherent demodulation, recovers information sequence;Finally decoder adopts FFT-BP decoding algorithm to the multiple encoding modulation of information sequence, then source decoding is carried out, obtains original electromagnetic wave instruction signal.The application carries out octal LDPC code encoding and quaternary QPSK modulation to electromagnetic wave instruction signal, utilizes the characteristics of octal LDPC code high-speed information transmission advantage and QPSK modulation good anti-interference performance, carries out multiple encoding modulation processing to electromagnetic wave signal, can improve communication rate to meet the requirement of timeliness to drilling communication.