Frequency tracking-adaptive filtering vs. time-frequency distributions

Author

Davis, Paul J. ; Amin, Moeness G.

Author_Institution

Gen. Electr. Co., Valley Forge, PA, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

3225

Abstract

Frequency tracking using traditional least-mean-square (LMS) adaptive algorithms and time-frequency distributions (TFD) are compared. Two problems arise when time-frequency distributions are used for frequency tracking: the presence of cross terms and sidelobes. Methods to adequately suppress the cross terms and sidelobes for frequency tracking purposes are discussed. The important parameters for both methods are presented, and the results demonstrate, in most cases, the superior performance of TFDs versus traditional LMS adaptive algorithms

Keywords

adaptive filters; filtering and prediction theory; least squares approximations; signal processing; tracking; LMS adaptive algorithms; cross-term suppression; frequency tracking-adaptive filtering; sidelobe suppression; signal processing; time-frequency distributions; Adaptive algorithm; Adaptive filters; Data systems; Filtering; Frequency estimation; Kernel; Least squares approximation; Signal processing algorithms; Smoothing methods; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150142

Filename

150142

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1873948