Everything a signal and image processing engineer needs to know about distributed source coding - theorems, practical algorithms for design and the latest applications.
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
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. 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.
"This book is a great resource covering the breadth and depth of distributed source coding that’s appropriate for everyone from theoreticians to practitioners." --Richard Baraniuk, Rice University
|
Ask a Question About this Product More... |
|
