Title :
Real-time active noise control of multi-tones and MRI acoustic noise in fMRI bore with signal decomposition and parallel hybrid RLS-NLMS adaptive algorithms
Author :
Krishna Vemuri, Sri Hari ; Ganguly, Anshuman ; Panahi, Issa
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
This paper presents a real-time implementation of a cost-effective adaptive feedback Active Noise Control (FANC) method for attenuating acoustic multi-tone noise and functional Magnetic Resonance Imaging (fMRI) acoustic noise in a fMRI bore test-bed. Periodic property of the signal is used to decompose it into dominant periodic components and residual random components using linear prediction (LP) filtering. After decomposition, a hybrid combination of Recursive Least Squares (RLS) and Normalized Least Mean Squares (NLMS) filters is used to effectively attenuate each of the periodic and random components of noise separately. Real time implementation of proposed FANC method on fMRI test bed is discussed and Noise attenuation levels (NAL) obtained are presented which support the effectiveness of the FANC method in practice.
Keywords :
biomedical MRI; filtering theory; image denoising; least squares approximations; medical image processing; noise abatement; FANC method; MRI acoustic noise; NAL; active noise control; adaptive feedback active noise control; fMRI bore; functional magnetic resonance imaging; linear prediction filtering; multitone control; noise attenuation levels; normalized least mean squares; parallel hybrid RLS-NLMS adaptive algorithm; recursive least squares; signal decomposition; Acoustic noise; Adaptive filters; Convergence; Magnetic resonance imaging; Microphones; Noise; Real-time systems; Active Noise control; adaptive filtering; adaptive signal processing; linear prediction filtering; signal decomposition;
Conference_Titel :
Circuits and Systems Conference (DCAS), 2014 IEEE Dallas
Conference_Location :
Richardson, TX
DOI :
10.1109/DCAS.2014.6965339
