A Novel Signal Feature Extraction Method Based on Wavelet Analysis

Author

Wang, Xin

Author_Institution

Coll. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo

Volume

1

fYear

0

Firstpage

4967

Lastpage

4971

Abstract

The frequency characteristics of the Daubechies wavelet series were analyzed. The problem of the frequency band energy leakage (FBEL) of the wavelet analysis was pointed out. The FBEL affects the veracity of the signal feature extraction. By the simulation research, the basic rules of the FBEL were opened out, and a frequency band energy modification method was proposed. On the basis of the frequency band energy increment comparison method, the feature of the signal change are gotten by calculating the FBEL coefficients of the left and right adjacent frequency bands and the modified energy of the feature frequency band. It is shown that the effect of the FBEL can be eliminated by the frequency band energy modification method. This method is suitable to the signal feature extraction

Keywords

feature extraction; signal processing; wavelet transforms; Daubechies wavelet series; frequency band energy leakage; frequency band energy modification; signal change; signal feature extraction; wavelet analysis; Automation; Educational institutions; Feature extraction; Frequency; Intelligent control; MATLAB; Pareto analysis; Signal analysis; Wavelet analysis; energy leakage; feature extraction; wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713332

Filename

1713332