Multitime frequency classifiers for neighboring modulations in a multiplicative noise environment

Author

Gelle, G. ; Colas, M. ; Delaunay, G.

Author_Institution

LAM-URCA, Reims, France

Volume

1

fYear

2000

fDate

2000

Firstpage

205

Abstract

This communication presents two new classification algorithms based on time varying higher order statistics (TVHOS). These two algorithms benefit from the advantageous localization properties provided by TVHOS4 for instantaneous frequency laws disrupted by multiplicative noise. The classification scheme used is a bank of several normalized TVHOS4 correlators. Simulations illustrate successful performance of the classification algorithms for different situations and especially if the SNR is higher than -7 dB

Keywords

correlation methods; frequency modulation; higher order statistics; noise; signal classification; signal representation; spectral analysis; time-varying systems; TVHOS; TVHOS4 correlators; classification algorithms; instantaneous frequency laws; localization properties; multiplicative noise environment; multitime frequency classifiers; neighboring modulation; performance; time varying higher order statistics; Chirp modulation; Classification algorithms; Distributed computing; Frequency estimation; Frequency modulation; Higher order statistics; Linear systems; Signal analysis; Signal processing; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861916

Filename

861916