By Pierre Duhamel and Michel Kieffer (Auth.)
- Treats joint resource and channel deciphering in an built-in way
- Gives a transparent description of the issues within the box including the mathematical instruments for his or her solution
- Contains many designated examples worthwhile for useful functions of the idea to video broadcasting over cellular and instant networks
Traditionally, cross-layer and joint source-channel coding have been visible as incompatible with classically established networks yet fresh advances in concept replaced this example. Joint source-channel interpreting is now visible as a achievable replacement to split interpreting of resource and channel codes, if the protocol layers are taken under consideration. A joint source/protocol/channel technique is therefore addressed during this ebook: all degrees of the protocol stack are thought of, exhibiting how the knowledge in every one layer affects the others.
This publication offers the instruments to teach how cross-layer and joint source-channel coding and interpreting at the moment are suitable with present-day cellular and instant networks, with a specific program to the most important quarter of video transmission to mobiles. regular purposes are broadcasting, or point-to-point supply of multimedia contents, that are very well timed within the context of the present improvement of cellular providers resembling audio (MPEG4 AAC) or video (H263, H264) transmission utilizing fresh instant transmission criteria (DVH-H, DVB-SH, WiMAX, LTE).
This cross-disciplinary booklet is perfect for graduate scholars, researchers, and extra typically pros operating both in sign processing for communications or in networking functions, drawn to trustworthy multimedia transmission. This publication can be of curiosity to humans concerned with cross-layer optimization of cellular networks. Its content material may supply them with different issues of view on their optimization challenge, enlarging the set of instruments which they can use.
Pierre Duhamel is director of analysis at CNRS/ LSS and has formerly held examine positions at Thomson-CSF, CNET, and ENST, the place he was once head of the sign and photo Processing division. He has served as chairman of the DSP committee and affiliate Editor of the IEEE Transactions on sign Processing and sign Processing Letters, in addition to performing as a co-chair at MMSP and ICASSP meetings. He was once presented the Grand Prix France Telecom via the French technological know-how Academy in 2000. he's co-author of greater than eighty papers in overseas journals, 250 convention lawsuits, and 28 patents.
Michel Kieffer is an assistant professor in sign processing for communications on the Université Paris-Sud and a researcher on the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His learn pursuits are in joint source-channel coding and deciphering ideas for the trustworthy transmission of multimedia contents. He serves as affiliate editor of sign Processing (Elsevier). he's co-author of greater than ninety contributions to journals, convention lawsuits, and e-book chapters.
- Treats joint resource and channel interpreting in an built-in way
- Gives a transparent description of the issues within the box including the mathematical instruments for his or her solution
- Contains many precise examples worthy for functional purposes of the idea to video broadcasting over cellular and instant networks
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Additional info for Joint Source-Channel Decoding. A Cross-Layer Perspective with Applications in Video Broadcasting over Mobile and Wireless Networks
Example text
There is then no need to transmit the tables, the price to be paid is some suboptimality in compression efficiency. The corresponding residual redundancy may be evaluated, as done in Chapter 4. , Gallager (1978) and Vitter (1987) for more details. , a finite-state machine consisting of states linked by transitions. For a coder, these transitions are fired by symbols generated by the source and produce bits, whereas for decoders, transitions are fired by the bits to decode and produce decoded source symbols.
Typically, however, these joint reception schemes exploit redundancies in the received bitstream that are unintentional or that at least were not included to help the decoder. Naturally, then, one might ask whether the source/channel coding blocks can be designed in such a way that the source/channel decoder can make the most of the redundancy that they contribute. In fact, many aspects of this problem have already been studied; see Chapter 10 for a review of these methods. Finally, a global perspective may be taken; for a given bitstream length, one may wonder where the redundancy is most efficient.
In JPEG or MPEG 4/AAC, static Huffman tables are standardized, independent of the source statistics. There is then no need to transmit the tables, the price to be paid is some suboptimality in compression efficiency. The corresponding residual redundancy may be evaluated, as done in Chapter 4. , Gallager (1978) and Vitter (1987) for more details. , a finite-state machine consisting of states linked by transitions. For a coder, these transitions are fired by symbols generated by the source and produce bits, whereas for decoders, transitions are fired by the bits to decode and produce decoded source symbols.