文件名称:Chapter10
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现代通信原理第十章程序代码，不错的程序，初学习者很好的程序-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general fr a mework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general fr a mework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets
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Chapter10
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