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6 results about "Distributed source coding" patented technology

Distributed source coding (DSC) is an important problem in information theory and communication. DSC problems regard the compression of multiple correlated information sources that do not communicate with each other. By modeling the correlation between multiple sources at the decoder side together with channel codes, DSC is able to shift the computational complexity from encoder side to decoder side, therefore provide appropriate frameworks for applications with complexity-constrained sender, such as sensor networks and video/multimedia compression (see distributed video coding). One of the main properties of distributed source coding is that the computational burden in encoders is shifted to the joint decoder.

Systems and methods for distributed quantization of multimodal images

A system and method for implementing a distributed source coding quantization scheme is provided. In one example, two independent but statistically correlated data sources can be asymmetrically compressed so that one source is compressed at a higher ratio than the other. The resulting signals are transmitted and decoded by a receiver. The highly compressed source can utilize the non-highly compressed source as side information so as to minimize the compression loss associated with the higher compression ratio. A conditional codebook can be created that not only depends on the highly compressed quantizer, but also depends on the quantized symbol received from the non-highly compressed data source.
Owner:THE MITRE CORPORATION

Methods and apparatus for correlated multiuser coding

Systems and methods of employing distributed source coding in power-domain and / or code-domain uplink NOMA schemes are provided. In the provided systems and methods, the scheduling and the parameters of a joint source-channel coding and multiple access framework may be jointly optimized.
Owner:HUAWEI TECH CO LTD

A hybrid distributed source coding, decoding method and system

The present invention relates to a hybrid distributed source coding, decoding method and system, and particularly relates to the technical field of communication data transmission. The decoding method includes: decoding the extracted subsequence codewords of the source sequence to be decoded to obtain a reconstructed extracted subsequence; using a bilateral symmetric Context model to obtain the conditional distribution of each symbol in the unextracted subsequence according to the reconstructed extracted subsequence and the side information sequence of the source sequence to be decoded; decoding according to the conditional distribution of each symbol in the unextracted subsequence and the syndromes of the unextracted subsequence of the source sequence to be decoded to obtain a reconstructed unextracted subsequence; and combining the reconstructed extracted subsequence and the reconstructed unextracted subsequence to obtain the source sequence to be decoded. The key point of the present invention is to further improve the compression performance by using the correlation between adjacent symbols within the source sequence in a distributed source coding scheme based on a channel code.
Owner:YUNNAN UNIV

Source code integrity detection system based on distributed account book technology

The invention provides a source code integrity detection system based on a distributed account book technology, and the system comprises at least two distributed account book nodes which are used for carrying out the compiling of a source code in the nodes, and the compiling at least comprises the compiling, modification and detection of the source code; each distributed account book node comprises an account book receiving module used for receiving a distributed source code account book published in a network; the code detection module is used for compiling source codes in the distributed source code account book; and the account book sending module is used for sending the compiled source code to the network in a broadcast form. According to the method, the source code is subjected to integrity detection based on the distributed account book, and the risk of fraud and errors can be greatly reduced by means of the characteristic that the source code data cannot be tampered in the distributed account book; meanwhile, the automatic and efficient source code management process can shorten the development cycle, reduce the development cost, improve the quality and stability of software and promote cooperation and cooperation of different development teams.
Owner:GUANGZHOU RENHE SHICHUANG INFORMATION TECHNOLOGY CO LTD

Closed-loop intelligent control transmission (CLICT) and enhancements with distributed source coding

Methods, systems, and devices for wireless communication are described. A user equipment (UE) and a network entity may support communications with compressed channel state information (CSI) feedback. The UE and the network entity may use closed loop feedback to improve beamforming tracking accuracy. For example, the UE may receive a CSI reference signal (CSI-RS), which is beamformed based on a channel estimate of a sounding reference signal (SRS) or a previous CSI feedback, or both. The UE may transmit a feedback message that includes a compressed CSI generated by encoding a measurement of the CSI-RS. The compressed CSI may be generated based on a predicted channel estimate at the network entity, the predicted channel estimate being determined based on the channel estimate of the SRS or the previous CSI feedback.
Owner:QUALCOMM INC

Multi-base station cooperative communication optimization method based on reinforcement learning

The application discloses a multi-base station cooperative communication optimization method based on reinforcement learning and belongs to the technical field of wireless communication processing; through 7-2 layer function segmentation, beamforming is sunk to a remote unit, and local beamforming weight is calculated by using global precoding auxiliary information fed back by a central unit at a previous moment, so that high-dimensional antenna signals are reduced to low-dimensional user data streams; a joint quantizer based on Wyner-Ziv distributed source coding is adopted, spatial correlation between data streams of different remote units is used for compression, and a compression codebook and a global precoding matrix are jointly designed, so that mutual information between a quantization noise covariance matrix and a user interference channel is minimized; a multi-user channel matrix is reconstructed based on compressed data streams, and a reinforcement learning intelligent agent is introduced, an adaptive cooperative precoding strategy is output through intelligent decision-making, and differential pulse code modulation and adaptive quantization are adopted to efficiently feed back the global precoding matrix.
Owner:TIANYUAN RUIXIN COMM TECH CO LTD