DocumentCode :
327352
Title :
Insensitivity of adaptive quantization to model estimation in subband coding
Author :
Jornsten, Rebecka ; Bin Yu
Author_Institution :
Dept. of Stat., California Univ., Berkeley, CA, USA
fYear :
1998
fDate :
16-21 Aug 1998
Firstpage :
371
Abstract :
In wavelet subband coding, scalar adaptive quantization is found to be insensitive to model estimation. That is, adaptive quantization schemes via different model estimation routes lead to similar distortion performances. In particular, two analyses are provided to substantiate this finding. One corresponds to adaptation with overhead (non-parametric and continuous data) and the other corresponds to adaptation without overhead (parametric and quantized data)
Keywords :
adaptive codes; parameter estimation; quantisation (signal); transform coding; wavelet transforms; continuous data; distortion performance; model estimation; nonparametric data; overhead; parametric data; quantized data; scalar adaptive quantization; wavelet subband coding; Convergence; Laplace equations; Maximum likelihood estimation; Parameter estimation; Parametric statistics; Performance analysis; Performance evaluation; Quantization; Testing; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5000-6
Type :
conf
DOI :
10.1109/ISIT.1998.708976
Filename :
708976
Link To Document :
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