Signal Estimation using Wavelet-Markov Models
Author
Crouse, Matthew; Baraniuk, Richard G.; Nowak, Robert David
Date
2006-06-12Abstract
Current wavelet-based statistical signal and image processing techniques such as shrinkage and filtering 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. We develop a new framework for wavelet-based signal processing that employs hidden Markov models to characterize the dependencies between wavelet coefficients. To illustrate the power of the new framework, we derive a new algorithm for signal estimation in nonGaussian noise.
Description
Conference Paper
Citation
Published Version
Keyword
DSP for Communications
Type
Conference paper
Citable link to this page
https://hdl.handle.net/1911/19813Metadata
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