BET, the bicorspectral transform definition, properties, implementation and applications

Author

Duvaut, P. ; Gouraud, T.

Author_Institution

ETIS ENSEA, Cergy-Pontoise, France

Volume

3

fYear

1995

fDate

9-12 May 1995

Firstpage

1581

Abstract

This paper introduces a new time-frequency representation called the bicorspectral transform (BET), derives most of its theoretical properties and details relevant applications. This representation is devoted to non-Gaussian processes either stationary or not that exhibit non-vanishing third order moments. It is also closely related to the deterministic correlation between the signal and its Wigner-Ville distribution which yields efficient implementation with almost the same numerical complexity as a pseudo-Wigner-Ville representation

Keywords

Wigner distribution; correlation methods; signal representation; spectral analysis; time-frequency analysis; transforms; BET; Wigner-Ville distribution; bicorspectral transform; deterministic correlation; nonGaussian processes; nonvanishing third order moments; numerical complexity; pseudo-Wigner-Ville representation; stationary processes; theoretical properties; time-frequency representation; Buildings; Discrete transforms; Humans; Signal analysis; Signal processing; Stochastic processes; Stress; Three dimensional displays; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479865

Filename

479865