Wavelet thresholding using higher-order statistics for signal denoising

Author

Zhang, W. ; Zhao, X.H.

Author_Institution

Coll. of Telecommun. Eng., Jilin Univ., Changchun, China

Volume

1

fYear

2001

fDate

2001

Firstpage

363

Abstract

The paper demonstrates a higher-order statistics (HOS) based method of wavelet thresholding for signal denoising. We calculate the triple correlation coefficients of wavelet-signal correlation for identification of wavelet coefficients uncorrupted by noise. Since the higher than second-order moments of the Gaussian probability function are zero, the Gaussian noise can be eliminated completely. The method is also valid for unknown spectral density noise. The results of computer simulation show the availability and the effectiveness of the proposed wavelet thresholding method

Keywords

Gaussian noise; correlation methods; higher order statistics; identification; interference suppression; signal processing; wavelet transforms; Gaussian noise elimination; Gaussian probability function; HOS; computer simulation; higher-order statistics; identification; signal denoising; unknown spectral density noise; wavelet coefficients; wavelet thresholding; wavelet-signal correlation; Availability; Computer simulation; Educational institutions; Gaussian noise; Higher order statistics; Noise reduction; Probability; Signal denoising; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on

Conference_Location

Beijing

Print_ISBN

0-7803-7010-4

Type

conf

DOI

10.1109/ICII.2001.982774

Filename

982774