Adaptive Notch Filter with time-frequency tracking of continuously changing frequencies

Author

Ta, Minh ; DeBrunner, Victor

Author_Institution

FAMU-FSU Coll. of Eng., Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

3557

Lastpage

3560

Abstract

We propose in this paper a novel modification of the popular Adaptive Notch Filter (ANF) to improve the tracking of time-varying frequencies. Unlike previous algorithms, our new method incorporates a modeling of frequency variation directly into the cost minimization procedure. Our results show a notable improvement in the frequency estimation performance over earlier methods, and comparisons over a few examples show the general effectiveness of our approach.

Keywords

adaptive filters; frequency estimation; notch filters; time-frequency analysis; tracking; adaptive notch filter; frequency estimation; time-varying frequency tracking; Adaptive filters; Chirp; Convergence; Finite impulse response filter; Frequency estimation; Frequency measurement; Parameter estimation; Recursive estimation; Time frequency analysis; White noise; Adaptive filters; Frequency estimation; Notch filters; Recursive estimation; Time-varying filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518420

Filename

4518420