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

Christopher B. Smith; Sos S. Agaian

doi:10.1117/12.526981

28 May 2004 Class of Fibonacci-Daubechies-4-Haar wavelets with applicability to ECG denoising

Christopher B. Smith, Sos S. Agaian

Proceedings Volume 5298, Image Processing: Algorithms and Systems III; (2004) https://doi.org/10.1117/12.526981
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

Christopher B. Smith and Sos S. Agaian "Class of Fibonacci-Daubechies-4-Haar wavelets with applicability to ECG denoising", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); https://doi.org/10.1117/12.526981

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