A weighted decomposition of the Wigner distribution

Author

Wang, Junfeng ; Yan, Xiang ; Costa, Antonio H. ; Kasilingam, Dayalan

Author_Institution

Dept. of Electr. & Comput. Eng., Southeastern Massachusetts Univ., North Dartmouth, MA, USA

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

337

Lastpage

340

Abstract

The Wigner distribution (WD) can be decomposed into a linear combination of elementary WDs. Slow-oscillatory elementary WDs and fast-oscillatory elementary WDs mainly contribute to auto-terms and cross-terms, respectively. Using a weight function to keep slow-oscillatory elementary WDs and attenuate fast-oscillatory elementary WDs, one can balance auto-term resolution and cross-term suppression and obtain a weighted Wigner distribution (WWD)

Keywords

Wigner distribution; signal representation; signal resolution; time-frequency analysis; STFT; Wigner distribution; auto-term resolution; cross-term suppression; fast-oscillatory elementary WD; short-time Fourier transform; signal sampling; slow-oscillatory elementary WD; time-frequency signal representation; weight function; weighted Wigner distribution; weighted decomposition; Attenuation; Costs; Energy resolution; Filters; Fourier transforms; Kernel; Signal resolution; Spectrogram; Time frequency analysis; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955291

Filename

955291