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Author: Anil Kumar Daga Publisher: 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.
Author: Anil Kumar Daga Publisher: 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.
Author: Abbas El Gamal Publisher: Cambridge University Press ISBN: 1139503146 Category : Technology & Engineering Languages : en Pages : 666
Book Description
This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.
Author: Thomas M. Cover Publisher: John Wiley & Sons ISBN: 1118585771 Category : Computers Languages : en Pages : 788
Book Description
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
Author: Raymond W. Yeung Publisher: Springer Science & Business Media ISBN: 0387792333 Category : Computers Languages : en Pages : 592
Book Description
This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research ?eld of its own in information science. With its root in infor- tion theory, network coding has not only brought about a paradigm shift in network communications at large, but also had signi?cant in?uence on such speci?c research ?elds as coding theory, networking, switching, wireless c- munications,distributeddatastorage,cryptography,andoptimizationtheory. While new applications of network coding keep emerging, the fundamental - sults that lay the foundation of the subject are more or less mature. One of the main goals of this book therefore is to present these results in a unifying and coherent manner. While the previous book focused only on information theory for discrete random variables, the current book contains two new chapters on information theory for continuous random variables, namely the chapter on di?erential entropy and the chapter on continuous-valued channels. With these topics included, the book becomes more comprehensive and is more suitable to be used as a textbook for a course in an electrical engineering department.
Author: Feng Zhao Publisher: Springer Science & Business Media ISBN: 3540021116 Category : Computers Languages : en Pages : 688
Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.
Author: David Bull Publisher: Morgan Kaufmann ISBN: 9780121403102 Category : Computers Languages : en Pages : 498
Book Description
Describes the state-of-the-art in digital multimedia communications. This text presents an integrated view of advanced radio systems, network architectures and source coding.
Author: Raymond W. Yeung Publisher: Now Publishers Inc ISBN: 1933019247 Category : Computers Languages : en Pages : 156
Book Description
Provides a tutorial on the basics of network coding theory. Divided into two parts, this book presents a unified framework for understanding the basic notions and fundamental results in network coding. It is aimed at students, researchers and practitioners working in networking research.
Author: Anil Kumar Daga
Author: Anil Kumar Daga
Author: Jinjun Xiao
Author: Abbas El Gamal
Author: Thomas M. Cover
Author: Raymond W. Yeung
Author: Feng Zhao
Author: David Bull
Author: Raymond W. Yeung
Author: Tony Q. S. Quek
Author: Devavrat Shah