Description: 现代通信系统书籍底八章仿真程序，很好的程序，初学习这很好的教材-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 framework 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 Platform: |
Size: 9216 |
Author:史志举 |
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Description: 现代通信原理第九章程序代码，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 framework 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 Platform: |
Size: 7168 |
Author:史志举 |
Hits:
Description: 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 framework 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 Platform: |
Size: 1021952 |
Author:史志举 |
Hits:
Description: 关于语音处理的英文书籍，其中特征提取部分（MFCC）讲解的很好很详细-The performance of speech recognition systems receiving speech that has been transmitted over mobile channels can be
significantly degraded when compared to using an unmodified signal. The degradations are as a result of both the low
bit rate speech coding and channel transmission errors. A Distributed Speech Recognition (DSR) system overcomes
these problems by eliminating the speech channel and instead using an error protected data channel to send a
parameterized representation of the speech, which is suitable for recognition. The processing is distributed between the
terminal and the network. The terminal performs the feature parameter extraction, or the front-end of the speech
recognition system. These features are transmitted over a data channel to a remote "back-end" recognizer. The end result
is that the transmission channel does not affect the recognition system performance and channel invariability is achieved. Platform: |
Size: 101376 |
Author:gqy |
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