Capacity and Joint Source Channel Coding for Finite Impulse Response Channels with Ergodic Coefficients
Author: Venceslav Kafedziski
Publisher:
Published: 2000
Total Pages: 596
ISBN-13:
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Author: Venceslav Kafedziski
Publisher:
Published: 2000
Total Pages: 596
ISBN-13:
DOWNLOAD EBOOKAuthor: Johannes Huber (Prof. Dr.-Ing.)
Publisher: Margret Schneider
Published: 2004
Total Pages: 487
ISBN-13: 3800728028
DOWNLOAD EBOOKAuthor: Hong Shen Wang
Publisher:
Published: 1992
Total Pages: 148
ISBN-13:
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Publisher:
Published: 2004
Total Pages: 522
ISBN-13:
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Publisher:
Published: 2000
Total Pages: 752
ISBN-13:
DOWNLOAD EBOOKAuthor: James Ho
Publisher:
Published: 2013
Total Pages: 103
ISBN-13:
DOWNLOAD EBOOKThe paradigm of separate source-channel coding is inspired by Shannon's separation result, which implies the asymptotic optimality of designing source and channel coding independently from each other. The result exploits the fact that channel error probabilities can be made arbitrarily small, as long as the block length of the channel code can be made arbitrarily large. However, this is not possible in practice, where the block length is either fixed or restricted to a range of finite values. As a result, the optimality of source and channel coding separation becomes unknown, leading researchers to consider joint source-channel coding (JSCC) to further improve the performance of practical systems that must operate in the finite block length regime. With this motivation, this thesis investigates the application of JSCC principles for multimedia communications over point-to-point, broadcast, and relay channels. All analyses are conducted from the perspective of end-to-end distortion (EED) for results that are applicable to channel codes with finite block lengths in pursuing insights into practical design. The thesis first revisits the fundamental open problem of the separation of source and channel coding in the finite block length regime. Derived formulations and numerical analyses for a source-channel coding system reveal many scenarios where the EED reduction is positive when pairing the channel-optimized source quantizer (COSQ) with an optimal channel code, hence establishing the invalidity of the separation theorem in the finite block length regime. With this, further improvements to JSCC systems are considered by augmenting error detection codes with the COSQ. Closed-form EED expressions for such system are derived, from which necessary optimality conditions are identified and used in proposed algorithms for system design. Results for both the point-to-point and broadcast channels demonstrate significant reductions to the EED without sacrificing bandwidth when considering a tradeoff between quantization and error detection coding rates. Lastly, the JSCC system is considered under relay channels, for which a computable measure of the EED is derived for any relay channel conditions with nonzero channel error probabilities. To emphasize the importance of analyzing JSCC systems under finite block lengths, the large sub-optimality in performance is demonstrated when solving the power allocation configuration problem according to capacity-based formulations that disregard channel errors, as opposed to those based on the EED. Although this thesis only considers one JSCC setup of many, it is concluded that consideration of JSCC systems from a non-asymptotic perspective not only is more meaningful, but also reveals more relevant insight into practical system design. This thesis accomplishes such by maintaining the EED as a measure of system performance in each of the considered point-to-point, broadcast, and relay cases.
Author: Claude E Shannon
Publisher: University of Illinois Press
Published: 1998-09-01
Total Pages: 141
ISBN-13: 025209803X
DOWNLOAD EBOOKScientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.
Author:
Publisher:
Published: 1999
Total Pages: 848
ISBN-13:
DOWNLOAD EBOOKAuthor: Upamanyu Madhow
Publisher: Cambridge University Press
Published: 2014-11-24
Total Pages: 547
ISBN-13: 1107022770
DOWNLOAD EBOOKAn accessible undergraduate textbook introducing key fundamental principles behind modern communication systems, supported by exercises, software problems and lab exercises.
Author: Thomas M. Cover
Publisher: John Wiley & Sons
Published: 2012-11-28
Total Pages: 788
ISBN-13: 1118585771
DOWNLOAD EBOOKThe 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.