A modeling method based on wavelet networks

Author

Zhou, Weidong ; Jia, Lei

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

Volume

1

fYear

2004

fDate

31 Aug.-4 Sept. 2004

Firstpage

156

Abstract

A modeling and time-frequency analysis method based on a wavelet network is introduced. The wavelet network model can represent the time series signal effectively. Based on the wavelet network model, a novel time-frequency energy distribution function is obtained, which has the same time-frequency resolution as Wigner-Ville distribution and is free of cross-term interference. There is a great potential for the use of the novel time-frequency representation of nonstationary signal based on a wavelet network in the field of the electrophysiological signal processing and time-frequency analysis.

Keywords

Wigner distribution; signal representation; signal resolution; time series; time-frequency analysis; wavelet transforms; cross-term interference; electrophysiological signal processing; nonstationary signal representation; time series signal; time-frequency analysis method; time-frequency energy distribution function; time-frequency resolution; wavelet network model; Artificial neural networks; Brain modeling; Diseases; Electroencephalography; Interference; Signal processing; Signal resolution; Time frequency analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on

Print_ISBN

0-7803-8406-7

Type

conf

DOI

10.1109/ICOSP.2004.1452605

Filename

1452605