A multitime-frequency approach for detection and classification of neighboring instantaneous frequency laws in a noisy environment

Author

Colas, Maxime ; Gelle, Guillaume

Author_Institution

Lab. of Decision & Commun. Syst., Reims, France

Volume

11

Issue

2

fYear

2004

Firstpage

71

Lastpage

74

Abstract

Recently, time-varying higher order spectra (TVHOS) have been defined to analyze nonlinear nonstationary signals. In this letter, a new detection/classification algorithm based on TVHOS is proposed and applied to frequency-modulated (FM) signals disrupted by multiplicative and additive noise. Simulations indicate the superiority of this approach for classification purpose compared with the classical Wigner Spectrum scheme.

Keywords

AWGN; frequency modulation; higher order statistics; signal classification; signal detection; spectral analysis; additive noise; detection algorithm; frequency-modulated signals; instantaneous frequency laws; multiplicative noise; multitime frequency representations; noisy environment; nonlinear nonstationary signals; signal classification; time-varying higher order spectra; Additive noise; Additive white noise; Detectors; Frequency estimation; Gaussian noise; Performance analysis; Signal analysis; Speech analysis; Transient analysis; Working environment noise;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2003.821656

Filename

1261940