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