지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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In this paper, we propose a new Active Noise Control (ANC) system using a teacher forced Blind Source Separation(BSS) algorithm. The Blind Source Separation based on the Independent Component Analysis (ICA) separates the desiredsound signal from the unwanted noise signal. In the proposed system, the BSS algorithm is used as a preprocessor ofANC system. Also, we develop a teacher forced BSS learning algorithm to enhance the performance of BSS. The teachersignal is obtained from the output signal of the ANC system. Computer experimental results show that the proposed ANCsystem in conjunction with the BSS algorithm effectively cancels only the ship engine noise signal from the linear andconvolved mixtures with human voice.
목차
등록된 정보가 없습니다.
참고문헌 (13)
참고문헌 신청
/ 1987. / A multiple error LMS algorithm and its application to the active control of sound and vibration assp-35 (10) : 1423 ~ 1434
/ 1992. / Neural control-ler of nonlinear dynamic systems using higher order neural networks 28 (3) : 276 ~ 277
/ 1992. / The behavior of a multiple channel active control system 40 (5) : 1041 ~ 1052
/ 1996. / Active noise control systems; Algorithm and DSP Implementations ( ) : 1 ~ 51
/ 1996. / Blind separation of delayed Sources based on information maximization : 7 ~ 10
/ 1992. / Neural control-ler of nonlinear dynamic systems using higher order neural networks 28 (3) : 276 ~ 277
/ 1992. / The behavior of a multiple channel active control system 40 (5) : 1041 ~ 1052
/ 1996. / Active noise control systems; Algorithm and DSP Implementations ( ) : 1 ~ 51
/ 1996. / Blind separation of delayed Sources based on information maximization : 7 ~ 10
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