New PDF release: Distributed Source Coding: Theory, Algorithms and

By Pier Luigi Dragotti;Michael Gastpar

ISBN-10: 0123744857

ISBN-13: 9780123744852

The arrival of instant sensor expertise and ad-hoc networks has made DSC an immense box of curiosity. Edited and written by means of the prime avid gamers within the box, this publication provides the newest conception, algorithms and purposes, making it the definitive reference on DSC for structures designers and implementers, researchers, and graduate scholars. This e-book supplies a transparent knowing of the functionality limits of disbursed resource coders for particular sessions of assets and offers the layout and alertness of useful algorithms for reasonable situations. fabric lined contains using normal channel codes, corresponding to LDPC and faster codes, to DSC, and dialogue of the suitability of compressed sensing for disbursed compression of sparse signs. wide functions are provided and contain allotted video coding, microphone arrays and securing biometric information. This booklet is a smart source masking the breadth and intensity of dispensed resource coding that is applicable for everybody from theoreticians to practitioners. - Richard Baraniuk, Rice collage *Clear rationalization of the rules of dispensed resource coding (DSC), a know-how that has purposes in sensor networks, ad-hoc networks, and allotted instant video platforms for surveillance *Edited and written by means of the prime gamers within the box, supplying a whole and authoritative reference *Contains the entire newest idea, sensible algorithms for DSC layout and the main lately built functions

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Additional info for Distributed Source Coding: Theory, Algorithms and Applications

Example text

Problem Statement and Notation . . . . . . . . . . . . . . . . . . . . . . . . . The Two-terminal Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Multiterminal Scenario and the Distributed KLT Algorithm . . . . . . . . . . Alternative Transforms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Practical Distributed Transform Coding with Side Information .

The Distributed Karhunen–Loève Transform . . . . . . . . . . . . . . . . . . . . . . . Problem Statement and Notation . . . . . . . . . . . . . . . . . . . . . . . . . The Two-terminal Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Multiterminal Scenario and the Distributed KLT Algorithm . . . . . . . . . . Alternative Transforms . . . . . . . . . . . . . . . . . . . .

Transform Coding Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lossless Compression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Quantizers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bit Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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


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