Parameters definition for the windowed and smooth windowed Wigner-Ville distribution of time-varying signals

Author

Sha´Ameri, Ahmad Zuri

Author_Institution

Digital Signal Process. Lab., Universiti Teknologi Malaysia, Skudai, Malaysia

Volume

2

fYear

2001

fDate

2001

Firstpage

573

Abstract

The windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to analyze time-varying signals. Two classes of signals used are the dual-component linear FM and frequency shift-keying (FSK) signals. The time-lag characteristics of the bilinear product of both signals are analyzed and used to setup the parameters of the WWVD and SWWVD. In general, a more accurate time-frequency representation is obtained using the SWWVD compared to the WWVD. The accuracy of the resulting time-frequency representation is quantified based on the mainlobe width (MLW) and signal-to-interference (SNI) ratio

Keywords

Wigner distribution; frequency shift keying; parameter estimation; signal representation; time-frequency analysis; time-varying systems; FSK; bilinear product; dual-component linear FM; frequency shift-keying; mainlobe width; parameter definition; signal-to-interference ratio; smooth windowed Wigner-Ville distribution; time-frequency representation; time-lag characteristics; time-varying signal analysis; windowed Wigner-Ville distribution; Biomedical signal processing; Digital communication; Digital signal processing; Filters; Frequency shift keying; Interference; Kernel; Signal analysis; Signal processing; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and its Applications, Sixth International, Symposium on. 2001

Conference_Location

Kuala Lumpur

Print_ISBN

0-7803-6703-0

Type

conf

DOI

10.1109/ISSPA.2001.950208

Filename

950208