Performance Analysis of Sub-Band nLMS, APA and RLS in fMRI ANC with a Non-Minimum Phase Secondary Path

Author

Milani, Alireza A. ; Panahi, Issa M. S. ; Briggs, Robert

Author_Institution

Dept. of Electr. Eng., Texas Univ., Dallas, TX, USA

Volume

2

fYear

2007

fDate

15-20 April 2007

Abstract

We present the performance comparison of sub-band FXLMS algorithm for fMRI acoustic noise cancellation when the secondary path is non-minimum phase. Three types of least square adaptive filtering methods (nLMS, APA, RLS) are used in sub-bands. A series of simulations have been done using recorded fMRI acoustic noise and the results are given and compared based on the noise attenuation level, convergence rate and the quality of primary path estimation. It is verified that the spectrum structure of the fMRI acoustic noise has the main role in the performance of the active noise control especially when sub-band filtering is used.

Keywords

acoustic noise; active noise control; adaptive filters; biomedical MRI; convergence; least mean squares methods; APA; RLS; active noise control; convergence rate; fMRI ANC; fMRI acoustic noise cancellation; least square adaptive filtering methods; noise attenuation level; nonminimum phase secondary path; primary path estimation quality; spectrum structure; sub-band FXLMS algorithm; sub-band filtering; sub-band nLMS; Acoustic noise; Active noise reduction; Adaptive filters; Attenuation; Convergence; Least squares methods; Noise cancellation; Noise level; Performance analysis; Resonance light scattering; APA; Active Noise Control; Functional Magnetic Resonance Imaging; RLS; Sub-band Filtering; nLMS;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366245

Filename

4217418