Design and Realization of Active Noise Control Headphone

碩士 === 國立臺灣科技大學 === 電子工程系 === 97 === This thesis is mainly devoted to the application of adaptive filter technology to the design and realization of an active noise control (ANC) headphone system built with TI’s TMS320C6416T fixed-point digital signal processor. The pertinent adaptive algorithms for...

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Main Authors: CHIN-WEI CHANG, 張晉維
Other Authors: Tzong-Yeu Leou
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/05809427973702779526
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spelling ndltd-TW-097NTUS54280192015-10-13T14:49:22Z http://ndltd.ncl.edu.tw/handle/05809427973702779526 Design and Realization of Active Noise Control Headphone 主動式噪音控制耳機之設計與實現 CHIN-WEI CHANG 張晉維 碩士 國立臺灣科技大學 電子工程系 97 This thesis is mainly devoted to the application of adaptive filter technology to the design and realization of an active noise control (ANC) headphone system built with TI’s TMS320C6416T fixed-point digital signal processor. The pertinent adaptive algorithms for the ANC headphone are developed based upon an integrated feedback ANC (IFBANC) system model which is basically a commonly-used feedback ANC model that accommodates stereo audio input signals. In this ANC headphone, only one microphone is used in each ear-cup to acquire the residual noise component to produce the corresponding anti-noise signal, leading to a more compact and less costly system architecture that is well suited for the ANC headphone applications. In the initialization phase of the ANC headphone system, the characteristics of the secondary path are first estimated by using artificially generated white random inputs. After the noise cancelling function is activated, slight variations in the characteristics of the secondary path due to a small change in the headphone position are still tracked through the use of an online adaptation algorithm. When the ANC headphone is used for listening to music, the adaptation algorithm can isolate the noise components from the combined signal measured with the microphone in each ear-cup, which leads to the enhancement of the listening quality of the ANC headphone; when not listening to music, the ANC headphone essentially becomes a digital active protection earmuff. We have verified the effectiveness of the ANC algorithm by using MATLAB simulation. Then, the performance of the actual ANC headphone system is evaluated through the use of single-tone sinusoidal noise, dual-tone sinusoidal noise, and the noise of an AC cooling fan as the interfering noise signals. The results of the above experiments has clearly illustrated that the interfering outside noise signals can be significantly reduced in strength without noticeably affecting the audio input signals intended for listening. In particular, the ANC headphone has been shown to be most effective for reducing stationary and low-frequency noise signals. Tzong-Yeu Leou 柳宗禹 2009 學位論文 ; thesis 88 zh-TW
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description 碩士 === 國立臺灣科技大學 === 電子工程系 === 97 === This thesis is mainly devoted to the application of adaptive filter technology to the design and realization of an active noise control (ANC) headphone system built with TI’s TMS320C6416T fixed-point digital signal processor. The pertinent adaptive algorithms for the ANC headphone are developed based upon an integrated feedback ANC (IFBANC) system model which is basically a commonly-used feedback ANC model that accommodates stereo audio input signals. In this ANC headphone, only one microphone is used in each ear-cup to acquire the residual noise component to produce the corresponding anti-noise signal, leading to a more compact and less costly system architecture that is well suited for the ANC headphone applications. In the initialization phase of the ANC headphone system, the characteristics of the secondary path are first estimated by using artificially generated white random inputs. After the noise cancelling function is activated, slight variations in the characteristics of the secondary path due to a small change in the headphone position are still tracked through the use of an online adaptation algorithm. When the ANC headphone is used for listening to music, the adaptation algorithm can isolate the noise components from the combined signal measured with the microphone in each ear-cup, which leads to the enhancement of the listening quality of the ANC headphone; when not listening to music, the ANC headphone essentially becomes a digital active protection earmuff. We have verified the effectiveness of the ANC algorithm by using MATLAB simulation. Then, the performance of the actual ANC headphone system is evaluated through the use of single-tone sinusoidal noise, dual-tone sinusoidal noise, and the noise of an AC cooling fan as the interfering noise signals. The results of the above experiments has clearly illustrated that the interfering outside noise signals can be significantly reduced in strength without noticeably affecting the audio input signals intended for listening. In particular, the ANC headphone has been shown to be most effective for reducing stationary and low-frequency noise signals.
author2 Tzong-Yeu Leou
author_facet Tzong-Yeu Leou
CHIN-WEI CHANG
張晉維
author CHIN-WEI CHANG
張晉維
spellingShingle CHIN-WEI CHANG
張晉維
Design and Realization of Active Noise Control Headphone
author_sort CHIN-WEI CHANG
title Design and Realization of Active Noise Control Headphone
title_short Design and Realization of Active Noise Control Headphone
title_full Design and Realization of Active Noise Control Headphone
title_fullStr Design and Realization of Active Noise Control Headphone
title_full_unstemmed Design and Realization of Active Noise Control Headphone
title_sort design and realization of active noise control headphone
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/05809427973702779526
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