DocumentCode
588286
Title
A new achievable region for Gaussian multiple descriptions based on subset typicality
Author
Viswanatha, Kumar ; Akyol, Emrah ; Rose, Kenneth
Author_Institution
ECE Dept., Univ. of California - Santa Barbara, Santa Barbara, CA, USA
fYear
2012
fDate
3-7 Sept. 2012
Firstpage
45
Lastpage
49
Abstract
This paper addresses the L-channel multiple descriptions problem for a Gaussian source under mean squared error (MSE) distortion metric. We focus on particular cross-sections of the general rate-distortion region where a subset the 2L - 1 distortion constraints are not imposed. Specifically, we assume that certain descriptions are never received simultaneously at the decoder and thereby the transmitted codewords require joint typicality only within prescribed subsets. We derive a new encoding scheme and an associated rate-distortion region wherein joint typicality of codewords only within the prescribed subsets is maintained. We show that enforcing joint typicality of all the codewords entails strict suboptimality in the achievable rate-distortion region. Specifically, we consider a 3 descriptions scenario wherein descriptions 1 and 3 are never received simultaneously at the decoder and show that a strictly larger achievable region is obtained when the encoder maintains joint typicality of codewords only within the required subsets. To prove these results, we derive a lemma called the `subset typicality lemma´ which plays a critical role in establishing the new achievable region.
Keywords
Gaussian processes; decoding; encoding; mean square error methods; rate distortion theory; Gaussian multiple description; Gaussian source; L-channel multiple descriptions problem; decoder; encoding scheme; general rate-distortion region; mean squared error distortion metric; subset typicality lemma; Covariance matrix; Decoding; Encoding; Joints; Random variables; Rate-distortion; Gaussian multiple descriptions under MSE; L-channel multiple descriptions; Subset typicality lemma;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop (ITW), 2012 IEEE
Conference_Location
Lausanne
Print_ISBN
978-1-4673-0224-1
Electronic_ISBN
978-1-4673-0222-7
Type
conf
DOI
10.1109/ITW.2012.6404715
Filename
6404715
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