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
fDate :
3/1/1999 12:00:00 AM
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∈Rn, the asymptotic expression for the rate-distortion function of X∈Rn 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;
Journal_Title :
Information Theory, IEEE Transactions on