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    Signal Estimation using Wavelet-Markov Models

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    Author
    Crouse, Matthew; Baraniuk, Richard G.; Nowak, Robert David
    Date
    2006-06-12
    Abstract
    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
    M. Crouse, R. G. Baraniuk and R. D. Nowak, "Signal Estimation using Wavelet-Markov Models," vol. 5, 1997.
    Published Version
    http://dx.doi.org/10.1109/ICASSP.1997.604601
    Keyword
    DSP for Communications
    Type
    Conference paper
    Citable link to this page
    https://hdl.handle.net/1911/19813
    Metadata
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    • DSP Publications [508]
    • ECE Publications [1468]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
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    Site Map