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Joint Source-Channel Decoding
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- Treats joint source and channel decoding in an integrated way
- Gives a clear description of the problems in mathematics
- Contains many detailed examples for the theory of video broadcasting over mobile and wireless networks
Traditionally, cross-layer and joint source-channel coding were seen as incompatible with classically structured networks. Joint source-channel decoding is now seen as a viable. A joint source / protocol / channel approach is reflected in other layers.
This book provides a cross-layer and joint source-channel coding and decoding are now compatible with the current mobile phone. Typical applications are broadcasting, or point-to-point, a delivery of multimedia contents (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. This book is also included in the cross-layer optimization of mobile networks. Its content can be problematic, which can be used.
Pierre Duhamel is the director of research at the CNRS / LSS and has been researching positions at Thomson-CSF, CNET, and ENST, where he was head of the Signal and Image Processing Department. He has served as a chairman of the DSP committee and associate. IEEE Transactions on Signal Processing and Signal Processing Letters, as well as acting as a chair at MMSP and ICASSP conferences. He was awarded the Grand Prix of 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 at the Université Paris-Sud and a researcher at the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His research interests are in a joint source-channel coding and decoding techniques. He serves as an 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 mathematics
- Contains many detailed examples for the theory of video broadcasting over mobile and wireless networks
Introduction: Context; Why Joint Source and Channel Decoding ?; Source-Coding Primer; Identifying Residual Redundancy; Exploiting the Residual Redundancy; Toward Practical Implementations; Protocol Layers; Joint Protocol-Channel Decoding; Joint Cross-Layer Decoding; Introduction to Joint Source-Channel Coding; Open Challenges; Format of 802.11 Packets; Bibliography
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