Distributed Source Coding

Theory, Algorithms and Applications
Erscheinungsjahr 2009
ISBN: 978-0-12-374485-2
Verlag: Elsevier Science

Buch, Englisch, 360 Seiten, Format (B × H): 197 mm x 243 mm, Gewicht: 1014 g

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.

Zielgruppe

Signal and image processing researchers, R&D engineers, systems designers and implementers and graduate students.

Autoren/Hrsg.

Dragotti, Pier Luigi

Gastpar, Michael

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

Foundations of Distributed Source CodingDistributed transform codingQuantization for Distributed Source CodingZero-error Distributed Source CodingDistributed Coding of Sparse SignalsTowards constructive Slepian-Wolf coding schemesDistributed Compression in Microphone ArrayDistributed Video Coding: Basics, Codecs and PerformanceModel Based Multi-view Video Compression using Distributed Source Coding PrinciplesDistributed Compression of Hyperspectral ImagerySecuring Biometric Data

Über Autor(innen)

Gastpar, Michael
Michael Gastpar is currently an Associate Professor at the University of California, Berkeley. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He won the 2002 EPFL Best Thesis Award, an NSF CAREER award in 2004, and an Okawa Foundation Research Grant in 2008.

Dragotti, Pier Luigi
Pier Luigi Dragotti is currently a Senior Lecturer in the Electrical and Electronic Engineering Department at Imperial College, London. He has worked as a researcher at Bell Labs and EPFL and is a member of the IEEE Image and MultiDimensional Signal Processing (IMDSP) Technical Committee.