DocumentCode :
3012348
Title :
Sensitivity of the rate-distortion function of stationary continuous-time Gaussian processes to non-Gaussian contamination
Author :
Pinsker, Mark S. ; Prelov, Vyacheslav V. ; Verdu, Sergio
Author_Institution :
Inst. of Inf. Transmission Problems, Acad. of Sci., Moscow, Russia
fYear :
1997
fDate :
29 Jun-4 Jul 1997
Firstpage :
73
Abstract :
Let S(N,Z) be the sensitivity of the rate-distortion function (relative to the mean-square-error criterion) of a continuous-time stationary Gaussian process N=N(t) to non-Gaussian contamination Z=Z(t). We prove that for any entropy-regular process Z the equality S(N,Z)=S(N,Z*) holds, where Z*=Z*(t) is a stationary Gaussian process with the same autocorrelation function as Z. An explicit expression for S(N,Z) in the terms of the spectral densities of N and Z is also derived. We also prove that S(N,Z)=0 for any entropy-singular process Z
Keywords :
Gaussian processes; continuous time systems; correlation methods; entropy; least mean squares methods; rate distortion theory; sensitivity; spectral analysis; autocorrelation function; entropy-regular process; entropy-singular process; mean-square-error criterion; nonGaussian contamination; rate-distortion function sensitivity; spectral densities; stationary continuous-time Gaussian processes; Autocorrelation; Conferences; Entropy; Equations; Gaussian channels; Gaussian processes; Rate-distortion; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
Type :
conf
DOI :
10.1109/ISIT.1997.612988
Filename :
612988
Link To Document :
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