The use of a filter bank and the Wigner-Ville distribution for time-frequency representation

Author

Sattar, Farook ; Salomonsson, Göran

Author_Institution

Dept. of Appl. Electron., Lund Univ., Sweden

Volume

47

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

1776

Lastpage

1783

Abstract

We present a new method for time-frequency representation, which combines a filter bank and the Wigner-Ville distribution (WVD). The filter bank decomposes a multicomponent signal into a number of single component signals before the WVD is applied. Cross-terms as well as noise are reduced significantly, whereas high time-frequency concentration is attained. Properties of the proposed time-frequency distribution (TFD) are investigated, and the requirements for the filter bank to fulfil these are given. The ability of the proposed non-Cohen´s (1995) class TFD to reduce cross-terms as well as noise as well as its ability to approximately reconstruct signals are illustrated by examples. The results are compared with those from the WVD, the Choi-Williams (1989) distribution (CWD), and spectrogram

Keywords

Wigner distribution; channel bank filters; filtering theory; noise; signal reconstruction; signal representation; time-frequency analysis; Choi-Williams distribution; Wigner-Ville distribution; cross-terms reduction; filter bank; high time-frequency concentration; multicomponent signal decomposition; noise reduction; nonCohen´s class TFD; signal reconstruction; single component signals; spectrogram; time-frequency distribution; time-frequency representation; Band pass filters; Chirp modulation; Filter bank; Fourier transforms; Noise reduction; Signal analysis; Signal processing; Signal reconstruction; Spectrogram; Time frequency analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.765169

Filename

765169