DocumentCode
1837942
Title
Distortion Analysis of Subband Adaptive Filtering Methods for fMRI Active Noise Control Systems
Author
Milani, A.A. ; Panahi, I.M.S. ; Briggs, R.
Author_Institution
Univ. of Texas at Dallas, Richardson
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
3296
Lastpage
3299
Abstract
Delayless subband filtering structure, as a high performance frequency domain filtering technique, is used for canceling broadband fMRI noise (8 kHz bandwidth). In this method, adaptive filtering is done in subbands and the coefficients of the main canceling filter are computed by stacking the subband weights together. There are two types of stacking methods called FFT and FFT-2. In this paper, we analyze the distortion introduced by these two stacking methods. The effect of the stacking distortion on the performance of different adaptive filters in FXLMS algorithm with non-minimum phase secondary path is explored. The investigation is done for different adaptive algorithms (nLMS, APA and RLS), different weight stacking methods, and different number of subbands.
Keywords
acoustic distortion; active noise control; adaptive filters; biomedical MRI; biomedical ultrasonics; FFT-2; FXLMS algorithm; delayless subband filtering structure; distortion analysis; fMRI active noise control systems; frequency domain filtering technique; nonminimum phase secondary path; subband adaptive filtering methods; weight stacking methods; Active noise reduction; Adaptive filters; Bandwidth; Control systems; Delay systems; Filtering; Frequency domain analysis; Noise cancellation; Phase distortion; Stacking; Algorithms; Artifacts; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4353034
Filename
4353034
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