Extraction of almost periodic signals using cyclostationarity

Author

Dandawaté, Amod V. ; Giannakis, Georgios B.

Author_Institution

Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA

Volume

iv

fYear

1994

fDate

19-22 Apr 1994

Abstract

Extraction of almost periodic signals from their noisy observations is accomplished by exploiting cyclostationarity. The additive noise is allowed to be generally cyclostationary with unknown distribution. Consistency of the proposed estimators is proved and their asymptotic properties are presented. Further, adaptive algorithms are employed for tracking possible time-variations in the parameters of the almost periodic signal. Finally, the proposed methods are tested via simulations

Keywords

adaptive estimation; adaptive signal processing; higher order statistics; time-varying systems; tracking; adaptive algorithms; additive noise; almost periodic signals; asymptotic properties; cumulants; cyclostationarity; estimators; noisy observations; signal extraction; simulations; time-variations; tracking; unknown distribution; Adaptive algorithm; Additives; Artificial intelligence; Helicopters; Helium; Interference; Signal processing; Speech enhancement; Testing; Underwater vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389851

Filename

389851