Extracting signal frequency information in time/frequency domain by means of continuous wavelet transform

Author

Wu, Wei

Author_Institution

Univ. of Missouri-Rolla, Rolla

fYear

2007

fDate

17-20 Oct. 2007

Firstpage

540

Lastpage

543

Abstract

In this paper, the techniques for extracting signal frequency information in time/frequency domain by means of continuous wavelet transform are presented and the novel "maximum wavelet coefficient frequency-time curve" method, together with "sum wavelet coefficient curve" method are proposed to overcome some shortfalls of existing continuous wavelet transform in signal frequency extracting. The experimental data and the Matlab generated data are calculated with continuous wavelet transform, and further analyzed with four wavelet coefficient evaluation methods, including proposed methods, showing different evaluation method characteristics that can be a reference for choosing suitable methods for different applications.

Keywords

signal processing; wavelet transforms; Matlab data; continuous wavelet transform; frequency domain; maximum wavelet coefficient frequency-time curve; signal frequency information extraction; sum wavelet coefficient curve; time domain; wavelet coefficient evaluation; Character generation; Continuous wavelet transforms; Data mining; Frequency domain analysis; Signal analysis; Switches; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms; Measurement; Signal processing; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems, 2007. ICCAS '07. International Conference on

Conference_Location

Seoul

Print_ISBN

978-89-950038-6-2

Electronic_ISBN

978-89-950038-6-2

Type

conf

DOI

10.1109/ICCAS.2007.4406970

Filename

4406970