DocumentCode
2148270
Title
Vector quantization of a parametric source
Author
Wolfe, Laurence
Author_Institution
U.S. General Services Adm., USA
Volume
2
fYear
1997
fDate
20-22 Aug 1997
Firstpage
706
Abstract
Interpreting the problem in terms of statistical risk, an approach is suggested in this paper for quantizing a parametric source with unknown statistics. Unlike universal quantizers, the suggested method achieves its optimal performance on a fixed dimension basis, and can be used to find a quantizer which minimizes the maximum quantization error when a source belongs to a class of parameterized sources
Keywords
entropy; parameter estimation; rate distortion theory; statistical analysis; vector quantisation; maximum quantization error minimization; optimal performance; parametric source; rate distortion function; relative entropy; statistical risk; vector quantization; Distortion measurement; Entropy; Equations; Minimax techniques; Nearest neighbor searches; Parametric statistics; Probability density function; Rate-distortion; Robustness; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-3905-3
Type
conf
DOI
10.1109/PACRIM.1997.620357
Filename
620357
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