A Study of Threshold De-noising Method and Its Application in Signal Processing

Author

Wu Zuoju ; Bi Junwei ; Wang Zhijia

Author_Institution

Southwest Jiaotong Univ., Chengdu, China

fYear

2014

fDate

15-16 June 2014

Firstpage

88

Lastpage

91

Abstract

In this article, the characteristics, theories and classification of the threshold de-noising method are introduced in detail. According to the study, when wavelet threshold de-noising method is compared with the wavelet packet threshold de-noising method, the first method is suitable for dealing with the low frequency information, but the second method is available to deal with the information with high frequency. On the other hand, through the study of this thesis, we found the soft-threshold processing method is better than the hard-threshold processing method in most cases.

Keywords

signal denoising; wavelet transforms; hard-threshold processing method; low frequency information; signal processing; soft-threshold processing method; wavelet packet threshold denoising method; wavelet threshold denoising method; Noise; Noise reduction; Wavelet analysis; Wavelet coefficients; Wavelet packets; threshold de-noising method; wavelet packet transform; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on

Conference_Location

Hunan

Print_ISBN

978-1-4799-4262-6

Type

conf

DOI

10.1109/ISDEA.2014.27

Filename

6977552