Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638748
