Signal decoding and coding method and device

A technology of signal coding and coding method, applied in the direction of digital video signal modification, image communication, television, etc., can solve the problems of high complexity of video compression, unsuitable for WSNs energy control, etc.
CN102223533BActive Publication Date: 2013-09-04GUANGDONG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG UNIV OF TECH
Publication Date
2013-09-04

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Abstract

The embodiment of the invention discloses a signal decoding and coding method and a device; the signal coding method comprises a Wyner-Ziv frame and a key frame K for obtaining the original signal flow, wherein the frame K is transmitted to a signal receiving terminal and is decoded and reconstructed into a frame Y at the receiving terminal, and the frame Y is used as side information for decoding process of signals; a signal Xc is obtained according to the Wyner-Ziv frame, the correlation modeling between Xc and the frame Y is a virtual related channel, falling in with the formula Xc=Y+E, E is generated by a hidden Markov model (HMM) and is independent of Y; obtaining X through the quantization of a signal Xc; carrying out Raptor coding to X to obtain the coded signal Zm, so as to transmit to the signal receiving terminal. In the invention, the distribution type information source coding technology is adopted to transfer the coding complexity of a WSNs (wireless sensor networks) nodeto a decoding end, so as to reduce the compression computing energy consumption of the WSNs node.
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Description

technical field

[0001] The present invention relates to the field of signal processing, in particular to a signal encoding and decoding method and device. Background technique

[0002] With the rapid development of hardware technology, a large number of devices with small size, low power consumption, and limited processing and wireless communication capabilities have emerged. These devices are generally considered to be wireless sensor network nodes with sensing, computing, and communication capabilities. These nodes have limited battery life and limited computing and communication capabilities, and a large number of such spatially distributed signal processing nodes form wireless sensor networks (WSNs). This kind of sensor network can coordinately sense, collect and process various environmental or detection object information in the network coverage area, and release the information. Wireless sensor networks integrate the logical information world with the real physical w...

Claims

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