Joint Source-Channel Decoding

A Cross-Layer Perspective with Applications in Video Broadcasting

Nonfiction, Computers, Advanced Computing, Theory, Science & Nature, Technology, Engineering, Reference & Language, Reference
Cover of the book Joint Source-Channel Decoding by Pierre Duhamel, Michel Kieffer, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Pierre Duhamel, Michel Kieffer ISBN: 9780080922447
Publisher: Elsevier Science Publication: November 26, 2009
Imprint: Academic Press Language: English
Author: Pierre Duhamel, Michel Kieffer
ISBN: 9780080922447
Publisher: Elsevier Science
Publication: November 26, 2009
Imprint: Academic Press
Language: English
  • Treats joint source and channel decoding in an integrated way
  • Gives a clear description of the problems in the field together with the mathematical tools for their solution
  • Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks

Traditionally, cross-layer and joint source-channel coding were seen as incompatible with classically structured networks but recent advances in theory changed this situation. Joint source-channel decoding is now seen as a viable alternative to separate decoding of source and channel codes, if the protocol layers are taken into account. A joint source/protocol/channel approach is thus addressed in this book: all levels of the protocol stack are considered, showing how the information in each layer influences the others.

This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to mobiles. Typical applications are broadcasting, or point-to-point delivery of multimedia contents, which are very timely in the context of the current development of mobile services such as audio (MPEG4 AAC) or video (H263, H264) transmission using recent wireless transmission standards (DVH-H, DVB-SH, WiMAX, LTE).

This cross-disciplinary book is ideal for graduate students, researchers, and more generally professionals working either in signal processing for communications or in networking applications, interested in reliable multimedia transmission. This book is also of interest to people involved in cross-layer optimization of mobile networks. Its content may provide them with other points of view on their optimization problem, enlarging the set of tools which they could use.

Pierre Duhamel is director of research at CNRS/ LSS and has previously held research positions at Thomson-CSF, CNET, and ENST, where he was head of the Signal and Image Processing Department. He has served as chairman of the DSP committee and associate Editor of the IEEE Transactions on Signal Processing and Signal Processing Letters, as well as acting as a co-chair at MMSP and ICASSP conferences. He was awarded the Grand Prix France Telecom by the French Science Academy in 2000. He is co-author of more than 80 papers in international journals, 250 conference proceedings, and 28 patents.

Michel Kieffer is an assistant professor in signal processing for communications at the Université Paris-Sud and a researcher at the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His research interests are in joint source-channel coding and decoding techniques for the reliable transmission of multimedia contents. He serves as associate editor of Signal Processing (Elsevier). He is co-author of more than 90 contributions to journals, conference proceedings, and book chapters.

  • Treats joint source and channel decoding in an integrated way
  • Gives a clear description of the problems in the field together with the mathematical tools for their solution
  • Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Traditionally, cross-layer and joint source-channel coding were seen as incompatible with classically structured networks but recent advances in theory changed this situation. Joint source-channel decoding is now seen as a viable alternative to separate decoding of source and channel codes, if the protocol layers are taken into account. A joint source/protocol/channel approach is thus addressed in this book: all levels of the protocol stack are considered, showing how the information in each layer influences the others.

This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to mobiles. Typical applications are broadcasting, or point-to-point delivery of multimedia contents, which are very timely in the context of the current development of mobile services such as audio (MPEG4 AAC) or video (H263, H264) transmission using recent wireless transmission standards (DVH-H, DVB-SH, WiMAX, LTE).

This cross-disciplinary book is ideal for graduate students, researchers, and more generally professionals working either in signal processing for communications or in networking applications, interested in reliable multimedia transmission. This book is also of interest to people involved in cross-layer optimization of mobile networks. Its content may provide them with other points of view on their optimization problem, enlarging the set of tools which they could use.

Pierre Duhamel is director of research at CNRS/ LSS and has previously held research positions at Thomson-CSF, CNET, and ENST, where he was head of the Signal and Image Processing Department. He has served as chairman of the DSP committee and associate Editor of the IEEE Transactions on Signal Processing and Signal Processing Letters, as well as acting as a co-chair at MMSP and ICASSP conferences. He was awarded the Grand Prix France Telecom by the French Science Academy in 2000. He is co-author of more than 80 papers in international journals, 250 conference proceedings, and 28 patents.

Michel Kieffer is an assistant professor in signal processing for communications at the Université Paris-Sud and a researcher at the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His research interests are in joint source-channel coding and decoding techniques for the reliable transmission of multimedia contents. He serves as associate editor of Signal Processing (Elsevier). He is co-author of more than 90 contributions to journals, conference proceedings, and book chapters.

More books from Elsevier Science

Cover of the book Molecular Tools and Infectious Disease Epidemiology by Pierre Duhamel, Michel Kieffer
Cover of the book Water Purification by Pierre Duhamel, Michel Kieffer
Cover of the book Liver Disorders in Childhood by Pierre Duhamel, Michel Kieffer
Cover of the book Wind Power Plants by Pierre Duhamel, Michel Kieffer
Cover of the book Autophagy: Cancer, Other Pathologies, Inflammation, Immunity, Infection, and Aging by Pierre Duhamel, Michel Kieffer
Cover of the book The Rat Brain in Stereotaxic Coordinates - The New Coronal Set by Pierre Duhamel, Michel Kieffer
Cover of the book Advances in Agronomy by Pierre Duhamel, Michel Kieffer
Cover of the book Forensic Fingerprints by Pierre Duhamel, Michel Kieffer
Cover of the book Fetal Physiology and Medicine by Pierre Duhamel, Michel Kieffer
Cover of the book Design of Hybrid Molecules for Drug Development by Pierre Duhamel, Michel Kieffer
Cover of the book Molecular Basis of Olfaction by Pierre Duhamel, Michel Kieffer
Cover of the book Advances in Imaging and Electron Physics by Pierre Duhamel, Michel Kieffer
Cover of the book Aerosol Filtration by Pierre Duhamel, Michel Kieffer
Cover of the book Marine Medicinal Foods by Pierre Duhamel, Michel Kieffer
Cover of the book Riemannian Submersions, Riemannian Maps in Hermitian Geometry, and their Applications by Pierre Duhamel, Michel Kieffer
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy