DocumentCode
1478754
Title
High-resolution source coding for non-difference distortion measures: the rate-distortion function
Author
Linder, Tamás ; Zamir, Ram
Author_Institution
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
Volume
45
Issue
2
fYear
1999
fDate
3/1/1999 12:00:00 AM
Firstpage
533
Lastpage
547
Abstract
The problem of asymptotic (i,e., low-distortion) behavior of the rate-distortion function of a random vector is investigated for a class of non-difference distortion measures. The main result is an asymptotically tight expression which parallels the Shannon lower bound for difference distortion measures. For example, for an input-weighted squared error distortion measure d(x,y)=||W(x)(y-x)||2,y,x∈R n, the asymptotic expression for the rate-distortion function of X∈R n at distortion level D equals h(X)-2 /nlog(2πeD/n)+Elog|detW(X)| where h(X) is the differential entropy of X. Extensions to stationary sources and to high-resolution remote (“noisy”) source coding are also given
Keywords
entropy; rate distortion theory; source coding; asymptotic behavior; asymptotic expression; asymptotically tight expression; high-resolution remote source coding; high-resolution source coding; input-weighted squared error distortion measure; nondifference distortion measures; random vector; rate-distortion function; stationary sources; Distortion measurement; Entropy; Frequency measurement; Lattices; Linear predictive coding; Quantization; Rate-distortion; Signal analysis; Signal design; Source coding;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.749001
Filename
749001
Link To Document