Presentation 2011-08-09
Feedback Active Noise Control System for Reducing MR Noise : Stability Improvement of ANC System Using Linear Prediction Filter
Hiroyasu KOBAYASHI, Yoshinobu KAJIKAWA,
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Abstract(in English) MRI (Magnetic Resonance Imaging) device is medical equipment which has been used to obtain the cross-sectional image of the human body. MR device is introduced at Shiga University of Medical Science in order to conduct microwave coaguration therapy by using near-real-time MR images. MR device generates a serious noise (about 100 dB SPL). Hence, operators and other medical staff (e. g. nurses and anesthesists) are exposed to the large MR noise for many hours and cannot communicate with each other. This is an elevated risk of the operation. We therefore attempt to implement an active noise control (ANC) system in order to reduce MR noise and permit communication under the MR noise environment. The wideband disturbance (e. g. voice and background noise) makes the conventional feedback ANC system unstable or divergent because it corrupts the input signal to the control filter. In this paper, we propose a robust feedback ANC system using a linear prediction filter which suppresses the disturbance. Some experimental results obtained using a digital signal processor (DSP) demonstrate that the proposed feedback ANC system is superior to the conventional feedback ANC system in terms of stability while maintaining the same noise reduction ability.
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Keyword(in English) Active Noise Control / Feedback ANC / Linear Prediction Filter / MR noise
Paper # EA2011-53
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Committee EA
Conference Date 2011/8/2(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Feedback Active Noise Control System for Reducing MR Noise : Stability Improvement of ANC System Using Linear Prediction Filter
Sub Title (in English)
Keyword(1) Active Noise Control
Keyword(2) Feedback ANC
Keyword(3) Linear Prediction Filter
Keyword(4) MR noise
1st Author's Name Hiroyasu KOBAYASHI
1st Author's Affiliation Faculty of Engineering Science, Kansai University()
2nd Author's Name Yoshinobu KAJIKAWA
2nd Author's Affiliation Faculty of Engineering Science, Kansai University
Date 2011-08-09
Paper # EA2011-53
Volume (vol) vol.111
Number (no) 175
Page pp.pp.-
#Pages 6
Date of Issue