DocumentCode
2346106
Title
Asymptotic performance evaluation of mismatched vector quantizers using sub-Gaussian sources
Author
Müller, Frank
Author_Institution
Inst. fur Elektrische Nachrichtentechnik, Tech. Hochschule Aachen, Germany
fYear
1994
fDate
27-29 Oct 1994
Firstpage
96
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location
Alexandria, VA
Print_ISBN
0-7803-2761-6
Type
conf
DOI
10.1109/WITS.1994.513923
Filename
513923
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