Title :
Bounds on R(D) for an AR(1) Gaussian source with parameter uncertainty
Author :
Duchesne, Joële ; Gibson, Jerry D.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
The rate distortion theory of Gaussian autoregressive (AR) sources is relatively well understood. However it is often the case that we do not know the exact parameters of the AR source parameters. The present authors are interested in obtaining upper and lower bounds on the rate distortion function R(D) for a Gaussian AR(1) source subject to the mean square error fidelity criterion for a given range of model parameter uncertainty
Keywords :
Gaussian processes; autoregressive processes; parameter estimation; rate distortion theory; AR(1) Gaussian source; Gaussian autoregressive sources; R(D); exact parameters; lower bounds; mean square error fidelity criterion; model parameter uncertainty; parameter uncertainty; rate distortion theory; upper bounds; Autocorrelation; Data compression; Frequency; Helium; Rate distortion theory; Rate-distortion; Source coding; Uncertain systems; Uncertainty; White noise;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.395008
