Distributed Source Coding
Theory, Algorithms and Applications
- Pier Luigi Dragotti
- Michael Gastpar
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.
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
Signal and image processing researchers, R&D engineers, systems designers and implementers and graduate students.
- Published: January 2009
- Imprint: ACADEMIC PRESS
- ISBN: 978-0-12-374485-2