Suppression of interference terms in Wigner distribution by median filtering

Author

Oung, Harry ; Reid, J.

Author_Institution

Biomed. Eng. & Sci. Inst., Drexel Univ., Philadelphia, PA, USA

fYear

1990

fDate

10-12 Oct. 1990

Firstpage

308

Lastpage

311

Abstract

The Wigner distributions is known to have interfering cross-terms when applied to a multicomponent signal. Linear filtering techniques have been applied to suppress the interference but result in smearing of the time-frequency distribution. A nonlinear filtering technique is proposed that suppresses the interference without smearing the distribution. The technique consists of the median filtering of the cumulative distribution function and its performance is studied with computer simulated data. Good results were obtained even for a long data window.<>

Keywords

filtering and prediction theory; interference suppression; spectral analysis; statistical analysis; Wigner distribution; computer simulated data; cumulative distribution function; interference suppression; median filtering; multicomponent signal; nonlinear filtering; performance; spectral analysis; time-frequency distributions; Couplings; Distribution functions; Filtering; Interference suppression; Maximum likelihood detection; Nonlinear distortion; Nonlinear filters; Signal analysis; Signal resolution; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on

Conference_Location

Rochester, NY, USA

Type

conf

DOI

10.1109/SPECT.1990.205597

Filename

205597