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
Link To Document :
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