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Proceedings Paper

Multiwavelets and EP denoising
Author(s): Timothy L. Berkopec; Joseph D. Lakey; M. Cristina Pereyra; N Tymes
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Paper Abstract

In this paper we report on the performance of Lemarie uniwavelets and biwavelets for solving the ill-posed inverse problem of recovering the derivative of a noisy signal. The noise under consideration can be white gaussian or other noises like Tukey noise. The denoising procedures utilized are wavelet and biwavelet Efromovich-Pinsker (EP) estimators, which have been shown to be universal for both estimating the function and its derivative.

Paper Details

Date Published: 5 December 2001
PDF: 12 pages
Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); doi: 10.1117/12.449709
Show Author Affiliations
Timothy L. Berkopec, MZA Associates Corp. (United States)
Joseph D. Lakey, New Mexico State Univ. (United States)
M. Cristina Pereyra, Univ. of New Mexico (United States)
N Tymes, Univ. of New Mexico (United States)


Published in SPIE Proceedings Vol. 4478:
Wavelets: Applications in Signal and Image Processing IX
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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