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Joint source-channel coding

Pierre Duhamel
ENST, France

This overview of joint source and channel coding first states the problem to be addressed in terms of information theory : classical Shannon theorems on rate/distortion bounds and channel capacity are recalled, as well as the one on joint source/channel. This serves as a basis for understanding the possibilities brought by working jointly rather than separately as stated in the separation theorem. Explicit simple examples are given. Then, a generic LLoyd-Max procedure to be applied in the joint source/channel situation is provided, and serves as a guide for presenting previous work on joint source/channel coding.

Pierre Duhamel (Fellow, IEEE, 1998) was born in France in 1953. He received the Ing. Degree in Electrical Engineering from the National Institute for Applied Sciences (INSA) Rennes, France in 1975, the Dr. Ing. Degree in 1978, and the Doctorat es sciences degree in 1986, both from Orsay University, Orsay, France.
From 1975 to 1980, he was with Thomson-CSF, Paris, France, where his research interests were in circuit theory and signal processing, including digital filtering and analog fault diagnosis. In 1980, he joined the National Research Center in Telecommunications (CNET), Issy les Moulineaux, France, where his research activities were first concerned with the design of recursive CCD filters. Later, he worked on fast Fourier transforms and convolution algorithms, and applied similar techniques to adaptive filtering, spectral analysis and wavelet transforms. He is now developing studies in channel equalization (including multicarrier systems) and source coding (including joint source/channel coding). Since June 1993, he has been professor at ENST, Paris (National School of Engineering in Telecommunications) with research activities focused on Signal processing for Communications. He was recently nominated head of the Signal and Image processing Department.
Dr. Duhamel was chairman of the DSP committee from 1996 to 1998, was an associate Editor of the IEEE Transactions on Signal Processing from 1989 to 1991, and was associate Editor for the IEEE Signal Processing Letters. He was a guest editor for the special issue of the IEEE Trans. on SP on wavelets. He is now a member of the SP for Com committee. The paper on subspace-based methods for blind equalization, which he co-authored, received the "Best paper award" from the IEEE transactions on SP in 1998

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