Title :
Parallel feedback Active Noise Control of MRI acoustic noise with signal decomposition using hybrid RLS-NLMS adaptive algorithms
Author :
Ganguly, Anshuman ; Krishna Vemuri, Sri Hari ; Panahi, Issa
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
This paper presents a cost-effective adaptive feedback Active Noise Control (FANC) method for controlling functional Magnetic Resonance Imaging (fMRI) acoustic noise by decomposing it into dominant periodic components and residual random components. Periodicity of fMRI acoustic noise is exploited by using linear prediction (LP) filtering to achieve signal decomposition. A hybrid combination of adaptive filters-Recursive Least Squares (RLS) and Normalized Least Mean Squares (NLMS) are then used to effectively control each component separately. Performance of the proposed FANC system is analyzed and Noise attenuation levels (NAL) up to 32.27dB obtained by simulation are presented which confirm the effectiveness of the proposed FANC method.
Keywords :
acoustic noise; adaptive filters; biomedical MRI; feedback; image denoising; least mean squares methods; medical control systems; medical image processing; noise abatement; adaptive feedback active noise control method; adaptive filter-recursive least squares; fMRI acoustic noise control; fMRI acoustic noise periodicity; functional magnetic resonance imaging; hybrid RLS-NLMS adaptive algorithms; linear prediction filtering; noise attenuation level analysis; normalized least mean squares; parallel feedback active noise control method; signal decomposition; Acoustic noise; Adaptive algorithms; Adaptive filters; Attenuation; Convergence; Magnetic resonance imaging; Noise;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944308
