Title :
Asymptotic performance evaluation of mismatched vector quantizers using sub-Gaussian sources
Author_Institution :
Inst. fur Elektrische Nachrichtentechnik, Tech. Hochschule Aachen, Germany
Abstract :
Asymptotic (high rate) quantization theory is applied to the multivariate mismatch problem. The question of how much is lost if a vector quantizer which is matched to a specific source with given parameters is used for quantization of a source with different parameters, is addressed. For parameterization of the sources sub-Gaussian processes are employed
Keywords :
Gaussian processes; source coding; vector quantisation; asymptotic performance evaluation; lossy source coding; mismatched vector quantizers; multivariate mismatch problem; parameterization; sub-Gaussian sources; Covariance matrix; Random processes; Robustness; Shape; Signal processing; Source coding; Statistical distributions; Statistics; Symmetric matrices; Vector quantization;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513923
