Slepian-Wolf coded quantization for Wyner-Ziv coding: Performance analysis, code design and applications

This talk presents a Slepian-Wolf coded quantization (SWCQ) framework for Wyner-Ziv coding. For the quadratic Gaussian Wyner-Ziv problem,

we show that the performance gap of high-rate SWCQ to the Wyner-Ziv

distortion-rate function is exactly the same as that of high-rate

classic source coding to the distortion-rate function. We show an

example of SWCQ with 2-D TCVQ, LDPC codes for Slepian-Wolf coding,

and optimal estimation at the decoder. The performance gap to the

Wyner-Ziv distortion-rate function is only 0.66 dB at 1.0 b/s and

0.47 dB at 3.3 b/s. We are thus approaching the theoretical performance

limit of Wyner-Ziv coding. For practical applications, we highlight

layered Wyner-Ziv video coding and distributed joint source-channel

coding of video (in conjunction with digital fountain codes).

Zixiang Xiong received the Ph.D. degree in Electrical Engineering in 1996 from the University of Illinois at Urbana-Champaign.

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