Statistical signal processing using wavelet-domain hidden Markov models

被引：1
|
作者：
Crouse, MS
Nowak, RD
Baraniuk, RG
机构：
来源：
WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING V | 1997年 / 3169卷
关键词：
wavelets; hidden Markov models; estimation;
D O I：
10.1117/12.279689
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Most wavelet-based statistical signal and image processing techniques treat the wavelet coefficients as though they were statistically independent. This assumption is unrealistic; considering the statistical dependencies between wavelet coefficients can yield substantial performance improvements. In this paper, we develop a new framework for wavelet-based signal processing that employs hidden Markov models to characterize the dependencies between wavelet coefficients.
引用
收藏
页码：248 / 259
页数：12
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