Search - Distributed Source Coding

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[Other resource] WAVELET-BASED-VIDEO DL : 0: WAVELET BASED DISTRIBUTED SOURCE CODING OF VIDEO
Update : 2008-10-13 Size : 128kb Publisher : 费戈
[Wavelet] WAVELET-BASED-VIDEO DL : 0: WAVELET BASED DISTRIBUTED SOURCE CODING OF VIDEO
Update : 2025-02-17 Size : 128kb Publisher : 费戈
[Special Effects] adptiveldpc DL : 0: 实现了码率自适应LDPC编解码，可用于分布式信源编码-Achieved a rate adaptive LDPC coding and decoding, can be used for distributed source coding
Update : 2025-02-17 Size : 6.08mb Publisher : jitao
[Documents] DSC DL : 0: this publication for distributed source coding-this is publication for distributed source coding
Update : 2025-02-17 Size : 266kb Publisher : MORSLI
[Documents] SDSCSideInformation DL : 0: journal of Secure Distributed Source Coding with Side-Information
Update : 2025-02-17 Size : 72kb Publisher : MORSLI
[Communication-Mobile] Chapter7 DL : 0: 现代通信系统书籍仿真程序，不错的程序供初学习者使用-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
Update : 2025-02-17 Size : 9kb Publisher : 史志举
[source in ebook] Chapter8 DL : 0: 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
Update : 2025-02-17 Size : 9kb Publisher : 史志举
[3G develop] Chapter9 DL : 0: 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
Update : 2025-02-17 Size : 7kb Publisher : 史志举
[3G develop] Chapter10 DL : 0: 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
Update : 2025-02-17 Size : 998kb Publisher : 史志举
[Other] Compress-and-Forward DL : 0: 协作通信中的压缩转发技术是现在比较先进的技术，这个文件夹里的文章是学习这个技术的不错的文章-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
Update : 2025-02-17 Size : 2.68mb Publisher : 史志举
[Other] DSC DL : 0: 分布式信源编码最新最系统的原版经典教材。系统地介绍了分布式信源编码的理论、目前发展的现状、应用及今后的发展方向。-Distributed source coding system, the latest and most classic of the original materials. Systematically introduced Distributed source coding theory, the current status of development, application and future direction of development.
Update : 2025-02-17 Size : 3.66mb Publisher : robert
[Windows Develop] DSC_book DL : 0: Distributed source coding is one of the important field of study especially in networking area.
Update : 2025-02-17 Size : 3.62mb Publisher : idhem5
[Documents] IMAGE-AUTHENTICATION-BASED-ON-DISTRIBUTED-SOURCE-C DL : 0: 基于分布式编码的图像认证方案，是图像认证一个新的方向，值得研究。本文献出至Stanford大学。-Image authentication based on distributed coding program is a new direction for image authentication, is worth studying. This paper devoted to Stanford University.
Update : 2025-02-17 Size : 157kb Publisher : robert
[Special Effects] entropy DL : 0: The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication". Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet.
Update : 2025-02-17 Size : 2kb Publisher : jeremy
[matlab] filter1 DL : 0: 高通滤波器，带通滤波器，数字FIR滤波器-The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication". Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet.
Update : 2025-02-17 Size : 1kb Publisher : jeremy
[Multimedia program] DVC DL : 1: 分布式视频编码程序，不包括传统帧编码部分，仅WZ编码部分，对信源进行了分类，小波变换，LDPC等-Distributed video coding process, not including traditional frame coding part, only part of WZ coding, the source for the classification, wavelet transform, LDPC, etc.
Update : 2025-02-17 Size : 3.05mb Publisher : yuyanli
[Program doc] coding DL : 0: (1999)Distributed Source coding for satellite communications
Update : 2025-02-17 Size : 311kb Publisher : sunwei
[Other] Lin_2009EI_CropResize DL : 0: Authenticating Cropped and Resized Images Using Distributed Source Coding and Expectation Maximization
Update : 2025-02-17 Size : 251kb Publisher : shaun
[VC/MFC] PRISM DL : 1: 分布式信源编码中的经典架构PRISM，完全代码实现，可用于相关研究。-The source code is the classcial scheme used in Distributed Source coding.It realize the Quantization, DCT,encoding,decoding and reconstruction successfully.
Update : 2025-02-17 Size : 14.91mb Publisher : 李斌
[Algorithm] PBP DL : 0: 用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。-Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models. This code is partially based on our published journal papers with some additional improvements. In this code, we removed the parameter \lambda to reduce the number of free parameters. PBP estimator is distributed in the hope that is will be useful, but without any warranty. The codes have not been optimized, so the estimation speed may be slow. To use PBP estimator source code in your research, please cite our journal papers published in IEEE TCOM.
Update : 2025-02-17 Size : 388kb Publisher : 林真天

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