DocumentCode
885061
Title
A Signal Denoising Method Based on the Improved ICI Rule
Author
Lerga, Jonatan ; Vrankic, Miroslav ; Sucic, Victor
Author_Institution
Fac. of Eng., Univ. of Rijeka, Rijeka
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
601
Lastpage
604
Abstract
In this letter, we have proposed a signal denoising method based on a modification of the intersection of confidence intervals (ICI) rule. The ICI rule is complemented by the relative intersection of confidence intervals length which is used as an additional criterion for adaptive filter support selection. It is shown that the proposed method outperforms the original ICI method equipped with the local polynomial approximation (LPA), as well as various conventional wavelet shrinkage methods.
Keywords
adaptive filters; filtering theory; polynomial approximation; signal denoising; ICI rule; adaptive filter support selection; intersection of confidence intervals rule; local polynomial approximation; signal denoising method; wavelet shrinkage methods; Adaptive filters; Additive white noise; Bandwidth; Estimation error; Noise reduction; Polynomials; Signal denoising; Signal processing; Signal processing algorithms; Time frequency analysis; Adaptive filter support; adaptive filtering; edge preserving; intersection of confidence intervals (ICI) rule;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2008.2001817
Filename
4639586
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