DocumentCode :
1451917
Title :
On the Rate Loss of Multiple Sources Codes in the Wyner–Ziv Setting
Author :
Lu, Jian ; Wang, Qiao
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume :
57
Issue :
3
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
1457
Lastpage :
1465
Abstract :
In this paper, we consider the rate loss and achievable region of multiple sources codes (also named multiterminal source codes) in the Wyner-Ziv setting (WZ-MSC), in which two stationary memoryless sources (X, Y) are compressed separately from each other at respective rates R1 and R2, and the joint decoder, having access to the side information S which is correlated with sources (X, Y), reconstructs X and Y with distortion D1 and D2, respectively. We define the rate loss L1 = R1 RX|Y,S(D1), L2 = R2 RY|X,S(D2), and L0 = R1 - R2 - RX,Y|S(D1,D2). For general real-valued stationary memoryless sources and mean squared error distortion measure, we show that the rate loss can be bounded by Li ≤ Ki + 1,i = 1,2, and L0 ≤ 1, where K1 = RX,Y|S(D1, D2) - RY|S(D2) RX|Y,S(D1) and K2 = RX,Y|S(D1,D2) - RX|S(D1) RY|X,S(D2). When the sources and side information have a jointly Gaussian distribution, we give upper bounds of K1 and K2 by a function of conditional correlation coefficient ρXY|S. For a special case when there is no side information, our result tightens Feng´s rate loss bounds. Using our upper bounds of the rate loss, we give good approximations of the achievable region.
Keywords :
Gaussian distribution; mean square error methods; source coding; Gaussian distribution; Wyner-Ziv setting; conditional correlation coefficient; general real-valued stationary memoryless sources; mean squared error distortion measure; multiple sources codes; multiterminal source codes; rate loss; Decoding; Encoding; Gaussian distribution; Joints; Random variables; Rate-distortion; Upper bound; Distributed source coding; Wyner–Ziv problem; multiple sources; multiterminal source code; rate loss; rate-distortion function; side information;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2103850
Filename :
5714279
Link To Document :
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