Download Distributed Source Coding: Theory, Algorithms and by Pier Luigi Dragotti;Michael Gastpar PDF

By Pier Luigi Dragotti;Michael Gastpar

The appearance of instant sensor expertise and ad-hoc networks has made DSC an important box of curiosity. Edited and written by means of the top gamers within the box, this booklet provides the newest thought, algorithms and functions, making it the definitive reference on DSC for platforms designers and implementers, researchers, and graduate scholars. This publication supplies a transparent knowing of the functionality limits of disbursed resource coders for particular periods of resources and provides the layout and alertness of useful algorithms for sensible situations. fabric coated contains using general channel codes, reminiscent of LDPC and rapid codes, to DSC, and dialogue of the suitability of compressed sensing for allotted compression of sparse indications. broad functions are provided and comprise allotted video coding, microphone arrays and securing biometric info. This e-book is a smart source protecting the breadth and intensity of allotted resource coding that is acceptable for everybody from theoreticians to practitioners. - Richard Baraniuk, Rice college *Clear clarification of the foundations of allotted resource coding (DSC), a expertise that has purposes in sensor networks, ad-hoc networks, and dispensed instant video structures for surveillance *Edited and written by means of the major avid gamers within the box, delivering a whole and authoritative reference *Contains the entire newest concept, useful algorithms for DSC layout and the main lately built purposes

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Bit Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transforms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Linear Approximation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Distributed Karhunen–Loève Transform . . . . . . . . . . . .

Alternative Transforms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Practical Distributed Transform Coding with Side Information . . . . . . . . . . . High-rate Analysis of Source Coding with Side Information at Decoder. . . . . . New Approaches to Distributed Compression with FRI . . . . . . . . . . . . . . . . . Background on Sampling of 2D FRI Signals . . . . . . . . . . . . . .

Draper and G. W. Wornell,“Successively structured CEO problems,”in Proceedings of ISIT, pp. 65-, 2002. [69] X. Zhang and S. Wicker, “On the rate region of the vector Gaussian CEO problem,” in 39th Annual Conference on Information Sciences and Systems, Baltimore, MD, 2005. [70] S. Tavildar and P. Viswanath, “The sum rate for the vector Gaussian CEO problem,” in 2005 Asilomar Conference, pp. 3–7, 2005. [71] K. Eswaran and M. Gastpar,“On the quadratic AWGN CEO problem and non-Gaussian source,” in Proceedings of ISIT, pp.

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