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Proceedings Paper

Class of Fibonacci-Daubechies-4-Haar wavelets with applicability to ECG denoising
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Paper Abstract

The presented paper introduces a new class of wavelets that includes the simplest Haar wavelet (Daubechies-2) as well as the Daubechies-4 wavelet. This class is shown to have several properties similar to the Daubechies wavelets. In application, the new class of wavelets has been shown to effectively denoise ECG signals. In addition, the paper introduces a new polynomial soft threshold technique for denoising through wavelet shrinkage. The polynomial soft threshold technique is able to represent a wide class of polynomial behaviors, including classical soft thresholding.

Paper Details

Date Published: 28 May 2004
PDF: 12 pages
Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); doi: 10.1117/12.526981
Show Author Affiliations
Christopher B. Smith, Univ. of Texas/San Antonio (United States)
Southwest Research Institute (United States)
Sos S. Agaian, Univ. of Texas/San Antonio (United States)

Published in SPIE Proceedings Vol. 5298:
Image Processing: Algorithms and Systems III
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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