Estimation of nonstationary harmonic signals and its application to active control of MRI noise

Author

Niedzwiecki, Maciej ; Meller, Michal ; Kajikawa, Y. ; Lukwinski, Dawid

Author_Institution

Dept. of Autom. Control, Gdansk Univ. of Technol., Gdansk, Poland

fYear

2013

Firstpage

5661

Lastpage

5665

Abstract

A new adaptive comb filtering algorithm, capable of tracking the fundamental frequency and amplitudes of different frequency components of a nonstationary harmonic signal embedded in white measurement noise, is proposed. Frequency tracking characteristics of the new scheme are studied analytically, proving (under Gaussian assumptions and optimal tuning) its statistical efficiency for quasi-linear frequency changes. Laboratory tests show that the proposed algorithm can be successfully used for active control of MRI noise.

Keywords

adaptive filters; biomedical MRI; comb filters; estimation theory; image denoising; medical image processing; white noise; MRI noise; active control; active noise cancellation; adaptive comb filtering algorithm; frequency components; fundamental frequency tracking characteristics; laboratory tests; nonstationary harmonic signal estimation; quasilinear frequency changes; statistical efficiency; white measurement noise; Adaptation models; Estimation; Harmonic analysis; Magnetic resonance imaging; Noise; Power harmonic filters; Signal processing algorithms; Adaptive comb filtering; active noise cancelling;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on

Conference_Location

Vancouver, BC

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2013.6638748

Filename

6638748