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Analysis of Wavelet domain Wiener Filters

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Title: Analysis of Wavelet domain Wiener Filters
Author: Choi, Hyeokho; Baraniuk, Richard G.
Type: Conference paper
Keywords: Wiener filters; wavelet domain
Citation: H. Choi and R. G. Baraniuk, "Analysis of Wavelet domain Wiener Filters," pp. 613-616, 1998.
Abstract: We investigate Wiener filtering of wavelet coefficients for signal denoising. Empirically designed wavelet-domain Wiener filters outperform many other denoising algorithms based on wavelet thresholding. However, up to now, it has not been clear how to choose the signal model used to design the filter, because the effect of model selection on the filter performance is difficult to understand. By analyzing the error involved in the Wiener filter designed with an empirically obtained signal model, we show that hard thresholding is typically outperformed by a Wiener filter designed in an alternate wavelet domain. Our analysis furthermore provides a method for selecting the various parameters involved in a wavelet-domain Wiener filtering scheme.
Date Published: 1998-10-01

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  • ECE Publications [1048 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.