Author: Hamid BehrooziPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Rate-distortion Regions for Successively Structured Multiterminal Source Coding Schemes
Author: Hamid BehrooziHelper-assisted Lossy Multiterminal Source Coding
Author: Multiterminal Source Coding
Author: Yang YangPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Driven by a host of emerging applications (e.g., sensor networks and wireless video), distributed source coding (i.e., Slepian-Wolf coding, Wyner-Ziv coding and various other forms of multiterminal source coding), has recently become a very active research area. This dissertation focuses on multiterminal (MT) source coding problem, and consists of three parts. The first part studies the sum-rate loss of an important special case of quadratic Gaussian multi-terminal source coding, where all sources are positively symmetric and all target distortions are equal. We first give the minimum sum-rate for joint encoding of Gaussian sources in the symmetric case, and then show that the supremum of the sum-rate loss due to distributed encoding in this case is 1 2 log2 5 4 = 0:161 b/s when L = 2 and increases in the order of o. L 2 log2 e b/s as the number of terminals L goes to infinity. The supremum sum-rate loss of 0:161 b/s in the symmetric case equals to that in general quadratic Gaussian two-terminal source coding without the symmetric assumption. It is conjectured that this equality holds for any number of terminals. In the second part, we present two practical MT coding schemes under the framework of Slepian-Wolf coded quantization (SWCQ) for both direct and indirect MT problems. The first, asymmetric SWCQ scheme relies on quantization and Wyner-Ziv coding, and it is implemented via source splitting to achieve any point on the sum-rate bound. In the second, conceptually simpler scheme, symmetric SWCQ, the two quantized sources are compressed using symmetric Slepian-Wolf coding via a channel code partitioning technique that is capable of achieving any point on the Slepian-Wolf sum-rate bound. Our practical designs employ trellis-coded quantization and turbo/LDPC codes for both asymmetric and symmetric Slepian-Wolf coding. Simulation results show a gap of only 0.139-0.194 bit per sample away from the sum-rate bound for both direct and indirect MT coding problems. The third part applies the above two MT coding schemes to two practical sources, i.e., stereo video sequences to save the sum rate over independent coding of both sequences. Experiments with both schemes on stereo video sequences using H.264, LDPC codes for Slepian-Wolf coding of the motion vectors, and scalar quantization in conjunction with LDPC codes for Wyner-Ziv coding of the residual coefficients give slightly smaller sum rate than separate H.264 coding of both sequences at the same video quality.
Distributed Source Coding
Author: Pier Luigi DragottiPublisher: Academic Press
ISBN: 0080922740
Category : Technology & Engineering
Languages : en
Pages : 359
Book Description
The advent of wireless sensor technology and ad-hoc networks has made DSC a major field of interest. Edited and written by the leading players in the field, this book presents the latest theory, algorithms and applications, making it the definitive reference on DSC for systems designers and implementers, researchers, and graduate students. This book gives a clear understanding of the performance limits of distributed source coders for specific classes of sources and presents the design and application of practical algorithms for realistic scenarios. Material covered includes the use of standard channel codes, such as LDPC and Turbo codes, to DSC, and discussion of the suitability of compressed sensing for distributed compression of sparse signals. Extensive applications are presented and include distributed video coding, microphone arrays and securing biometric data. Clear explanation of the principles of distributed source coding (DSC), a technology that has applications in sensor networks, ad-hoc networks, and distributed wireless video systems for surveillance Edited and written by the leading players in the field, providing a complete and authoritative reference Contains all the latest theory, practical algorithms for DSC design and the most recently developed applications
Distributed Source Coding in Sensor Networks
Author: Xin ZhangMultiterminal Gaussian Source Coding Using Pairwise Orthogonal Transforms
Author: Gowrav Malur MahadevaiahPublisher:
ISBN: 9781109825770
Category :
Languages : en
Pages : 49
Book Description
In this thesis, multiterminal Gaussian source coding was investigated in the context of sensor networks. The rate-distortion region was parameterized for a pair of correlated Gaussian sources using an implicit transform parameter. The approach made use of established results in multiple descriptor coding using pairwise orthogonal transforms.
Unified Structural View of Multiterminal Source Coding
Author: Source Channel Separation in Energy Constrained Multiterminal Source-channel Communications Schemes
Author: Anil Kumar DagaPublisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 60
Book Description
[Author's abstract] Source coding and channel coding are two important parts of a communications system. Source coding deals with the compression of source data, while channel coding adds some redundancy to circumvent the channel errors. Source coding and channel coding can be done either jointly or separately depending on the design issues like complexity of the system, rate, power, distortion tradeoffs. For optimal performance, all the parameters should be carefully chosen and optimized. This thesis looks at the scenarios of multi-terminal communications model where source and channel separation will not degrade the performance of the system in terms of rate power and distortion tradeoffs. Specifically, we investigate the transmission of data from correlated sources over an orthogonal multiple access channel under a total power constraint. It is observed that source-channel separation in this particular scenario is possible without any loss in the performance of the system. For the correlated sources case of the multiterminal communications, we provide an alternate approach for achieving source-channel separation.
Adaptive Methods and Rate-distortion Optimization Techniques for Efficient Source Coding
Author: Youngjun YooMultiterminal Source Coding
Author: Sui-yin TungPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 212
Book Description