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2016 6th International Conference on Machinery,Materials,Environment,Biotechnology and Computer(MMEBC 2016)

作者： Jing-Jing Shao College of science and technology Dian Chi College of Yunnan University

The genome sequence compression algorithm based on the distributed source coding technology purely is proposed in this paperIn order to enhance the compression efficiency, the genome sequence is mapped into two binary sources and then they are transmitted into two bilevel imagesAfter initialization, the distributed source coding based on LDPC is constructed for compressing these two sequencesTo compress the side information, the optimized context weighting is suggestedThe experiments results indicate that the coding efficiency is better than results from any other compression algorithms for microbial genome sequence compression.

关键词： distributed source coding Genome sequence compression Side information Context weighting Hilbert spacing filling

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On distributed source coding Using Abelian Group Codes

On Distributed Source Coding Using Abelian Group Codes

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Annual Allerton Conference on Communication, Control, and Computing

作者： Aria G. Sahebi S. Sandeep Pradhan Department of Electrical Engineering and Computer Science University of Michigan

ISBN: (纸本)9781467345378

In this paper, we consider the distributed source coding problem with a joint distortion criterion. We use random structured codes, specifically nested Abelian group codes to achieve a new inner bound to the rate-distortion region. This new inner bound unifies all other known results on the distributed source coding problem and for certain sources, this inner bound is strictly larger than other known rate regions. Furthermore, we define the notion of "nested random/group codes" in which the inner code is a group code and the outer code is a random code such that the quantization operation is a random vector quantization and the binning operation is correlated. We use random/group codes to improve upon the rate region achieved using nested group codes. We define two fundamental quantities of Abelian group codes: the "channel coding group entropy" and the "source coding group entropy" to present the achievable rate region.

关键词： distributed source coding Abelian group Codes random codes achievable rate region Vector quantization

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distributed source-Channel coding Based on Real-Field BCH Codes

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2014年第5期62卷 1171-1184页

作者： Vaezi, Mojtaba Labeau, Fabrice McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 0E9 Canada

We use real-number codes to compress statistically dependent sources and establish a new framework for distributed lossy source coding in which we compress sources before, rather than after, quantization. This change in the order of binning and quantization blocks makes it possible to model the correlation between continuous-valued sources more realistically and compensate for the quantization error partially. We then focus on the asymmetric case, i.e., lossy source coding with side information at the decoder. The encoding and decoding procedures are described in detail for a class of real-number codes called discrete Fourier transform (DFT) codes, both for the syndrome- and parity-based approaches. We leverage subspace-based decoding to improve the decoding and by extending it we are able to perform distributed source coding in a rate-adaptive fashion to further improve the decoding performance when the statistical dependency between sources is unknown. We also extend the parity-based approach to the case where the transmission channel is noisy and thus we perform distributed joint source-channel coding in this context. The proposed system is well suited for low-delay communications, as the mean-squared reconstruction error (MSE) is shown to be reasonably low for very short block length.

关键词： BCH-DFT codes distributed source coding joint source-channel coding parity real-number codes syndrome

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distributed source-Channel coding Using Reduced-Complexity Syndrome-Based TTCM

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IEEE COMMUNICATIONS LETTERS 2016年第10期20卷 2095-2098页

作者： Aljohani, Abdullah Babar, Zunaira Ng, Soon Xin Hanzo, Lajos Univ Southampton Southampton SO17 1BJ Hants England

In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability p(e) of the binary symmetric channel, which models the correlation between a pair of sources. Our joint decoder achieves an accurate correlation estimation for varying correlation coefficients at 3 dB lower SNR, than conventional TTCM decoder, despite its considerable complexity reduction.

关键词： distributed joint source-channel coding Slepian-Wolf coding distributed source coding turbo trellis coded modulation syndrome decoding

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Joint distributed source and Network coding for Multiple Wireless Unicast Sessions

Joint Distributed Source and Network Coding for Multiple Wir...

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IEEE Wireless Communications and Networking Conference

作者： Tajbksh, Shahriar Etemadi Movaghar, Ali Sharif Univ Technol Int Campus Kish Isl Iran Sharif Univ Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9781424429479

Few works has been focused on the problem of joint distributed data compression and network coding. In this paper we give some examples showing the advantage of broadcast nature of wireless environment as a basis for joint codes design. Also we show that joint coding is possible in the case of multiple unicasts. The idea of this paper can be exploited in an opportunistic manner. Actually, the foundation of our idea is nothing but combining opportunistic network coding (COPE) and distributed source coding using syndromes (DISCUS) for wireless applications.

关键词： distributed source coding network coding joint coding

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distributed single source coding with side information

Distributed single source coding with side information

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Conference on Visual Communications and Image Processing 2004

作者： Vila-Forcen, JE Koval, O Voloshynovskiy, S Univ Geneva Dept Comp Sci CH-1211 Geneva Switzerland

ISBN: (纸本)0819452114

In the paper we advocate image compression technique in the scope of distributed source coding framework. The novelty of the proposed approach is twofold: classical image compression is considered from the positions of source coding with side information and, contrarily to the existing scenarios, where side information is given explicitly, side information is created based on deterministic approximation of local image features. We consider an image in the transform domain as a realization of a source with a bounded codebook of symbols where each symbol represents a particular edge shape. The codebook is image independent and plays the role of auxiliary source. Due to the partial availability of side information at both encoder and decoder we treat our problem as a modification of Berger-Flynn-Gray problem and investigate a possible gain over the solutions when side information is either unavailable or available only at decoder. Finally. we present a practical compression algorithm for passport photo images based on our concept that demonstrates the superior performance in very low bit rate regime.

关键词： image compression wavelets distributed source coding source coding with side information image enhancement rate-distortion function Markov chain random coding argument Slepian-Wolf coding Wyner-Ziv coding Berger-Flynn-Gray coding Estimation-Quantization

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distributed Lossy source coding Using Real-Number Codes

Distributed Lossy Source Coding Using Real-Number Codes

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76th IEEE Vehicular Technology Conference (VTC Fall)

作者： Vaezi, Mojtaba Labeau, Fabrice McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 2A7 Canada

ISBN: (纸本)9781467318792

We show how real-number codes can be used to compress correlated sources, and establish a new framework for distributed lossy source coding, in which we quantize compressed sources instead of compressing quantized sources. This change in the order of binning and quantization blocks makes it possible to model correlation between continuous-valued sources more realistically and correct quantization error when the sources are completely correlated. The encoding and decoding procedures are described in detail, for discrete Fourier transform (DFT) codes. Reconstructed signal, in the mean-squared error sense, is seen to be better than or close to quantization error level in the conventional approach.

关键词： distributed source coding real-number codes BCH-DFT codes channel coding Wyner-Ziv coding

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Joint distributed source and Network coding for Correlated Information Multicasting

Joint Distributed Source and Network Coding for Correlated I...

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6th International ICST Conference on Communications and Networking in China (CHINACOM)

作者： Gao, Shaoshuai Chinese Acad Sci Grad Univ Sch Informat Sci & Engn Beijing Peoples R China

ISBN: (纸本)9781457701016

The problem of correlated information multicasting is considered in this paper, i.e., from multiple sources to multiple destinations through a network. It can be solved by jointly optimizing the distributed source coding and network coding. Previous research found that optimal performance can be achieved with unlimited decoding complexity, which cannot be applied in practical implementations. Some practical methods were also presented, which shows sub-optimal performance. To improve the coding performance and keep the low complexity of the algorithm, an adaptive coding and transmission scheme according to the conditional entropy of the sources is proposed. It has been demonstrated that the proposed scheme can achieve better performance compared with the existing ones.

关键词： distributed source coding network coding multicasting sensor networks

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An Extended DISCUS Scheme for distributed source coding in Wireless Sensor Networks

An Extended DISCUS Scheme for Distributed Source Coding in W...

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2nd International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2006), vol.3

作者： Qianyu Ye Yu Liu Lin Zhang School of Information Engineering Beijing University of Posts and Telecommunications Beijing China

In this paper, the design and construction methods of the DISCUS (distributed source coding Using Syndromes) scheme in wireless sensor networks are analyzed. The encoder quantizes the continuous outputs of the source and calculates the syndromes of the source codewords. Only the syndromes are transmitted to the decoder. The decoder combines the received syndromes and the side information to reconstruct the original source information. Some modifications are adopted to refine the shortages of the original DISCUS scheme, called extended DISCUS (eDISCUS). Firstly, the decoding error on the most significant bit is corrected. Secondly, the simple mapping from decimal quantization levels to binary codebook is replaced by a Gray-like Code. Thirdly, additional syndromes are transmitted to correctly decode all the single codeword error. Simulation results show that the modifications have better decoding error rate and distortion performances.

关键词： distributed source coding Wireless sensor networks DISCUS Decoding error rate

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A distributed Privacy-Utility Tradeoff Method Using distributed Lossy source coding with Side Information

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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2017年第5期11卷 2778-2791页

作者： Gu, Yonghao Wang, Yongfei Yang, Zhen Gao, Yimu Beijing Univ Posts & Telecommun Sch Comp Sci Beijing Key Lab Intelligent Telecommun Software & Beijing 100876 Peoples R China Univ Delaware Dept Comp & Informat Sci Newark DE 19716 USA

In the age of big data, distributed data providers need to ensure the privacy, while data analysts need to mine the value of data. Therefore, how to find the privacy-utility tradeoff has become a research hotspot. Besides, the adversary may have the background knowledge of the data source. Therefore, it is significant to solve the privacy-utility tradeoff problem in the distributed environment with side information. This paper proposes a distributed privacy-utility tradeoff method using distributed lossy source coding with side information, and quantitatively gives the privacy-utility tradeoff region and Rate-Distortion-Leakage region. Four results are shown in the simulation analysis. The first result is that both the source rate and the privacy leakage decrease with the increase of source distortion. The second result is that the finer relevance between the public data and private data of source, the finer perturbation of source needed to get the same privacy protection. The third result is that the greater the variance of the data source, the slighter distortion is chosen to ensure more data utility. The fourth result is that under the same privacy restriction, the slighter the variance of the side information, the less distortion of data source is chosen to ensure more data utility. Finally, the provided method is compared with current ones from five aspects to show the advantage of our method.

关键词： Privacy-utility tradeoff rate distortion distributed source coding side information

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