Signal de-noising using the wavelet transform and regularization

Author

John, A. Sony ; Desai, Uday B.

Author_Institution

Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA

Volume

3

fYear

1997

fDate

21-24 Apr 1997

Firstpage

1861

Abstract

This paper presents a new signal de-noising algorithm using wavelets. We have developed a filtering scheme in the wavelet domain, that involves selective smoothing at each scale of the time-frequency plot. The amount of smoothing is controlled by regularizing factors, and gradient-based switches are used to avoid distortion of signal features. The algorithm is seen to compare favorably to that of Mallat et al. (1992), as it is able to recover both the smooth portions as well as Brownian texture in the input, from the noisy signal

Keywords

Gaussian noise; signal reconstruction; smoothing methods; time-frequency analysis; wavelet transforms; Brownian texture; Gaussian noise; filtering scheme; gradient-based switches; noisy signal; regularization; regularizing factors; selective smoothing; signal denoising algorithm; signal features distortion; signal recovery; time-frequency plot; wavelet domain; wavelet transform; Filtering; Low pass filters; Signal denoising; Smoothing methods; Switches; Time frequency analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.598901

Filename

598901