• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.321-324
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• 1997

In this paper, Active Noise Control(ANC) algorithm is proposed based on the estimated frequency estimator of the reference signal. The conventional feedforward ANC algorithms should measure the reference and use it to calculate the gradient of the squared error and filter coefficients. For ANC systems applied to aircrafts and passenger ships, engines from which reference signal is usually measured is so far from seats where main part of controller is placed that the scheme might be difficult to implement or very costly. Feedback ANC algorithm which doesn't need to measure the reference uses the error signal to update the filter and is sensitive to unexpected transient noise like a sneeze, clapping of hands and so on The proposed algorithm estimates frequencies of the desired signal in real time using adaptive notch filter. New frequency estimation algorithm is proposed with the improved convergence rate, threshold SNR and computational simplicity. Reference is not measured but created with the estimated frequencies. It has strong similarity to the conventional feedback control because reference is made from error signal. Enhanced error signal is used to update the controller for better performance under the measurement noise and impact noise. The proposed ANC algorithm is compared with the conventional feedback control.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1756-1757
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• 2011

본 논문에서는 FXLMS 알고리즘을 이용하여 3차원 폐공간(반무향실)에서의 순음(125Hz)을 이용하여 부 음원과 에러센서의 위치 변화에 따른 소음저감 정도를 분석하였으며, 이 결과를 바탕으로 능동형 방음벽의 구현의 기초자료로 활용하고자 하였다. 부음원(제어스피커, 이하 부음원)과 에러센서간 거리차는 0.5m, 1.5m, 2.5m를 대상으로 실험을 실시하였으며 그 중 거리차가 1.5m 지점의 경우, 125Hz부근에서는 최대 18.3dB, Overall(80Hz~200Hz)값은 18.2dB(A)의 소음저감 효과가 있는 것으로 나타나, 가장 효과적인 부음원과 에러센서간의 거리차인 것으로 평가되었다.

• Journal of Korea Multimedia Society
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• v.6 no.7
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• pp.1131-1138
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• 2003

Active noise control(ANC) is an approach to noise reduction in which a secondary noise source destructively interferes with the unwanted noise is introduced. Generally, the performance of ANC is determined how well a secondary noise tracks noises. A secondary noise is generated from the cancelling speaker and a error sensor pick up error signal. The transfer function between the cancelling speaker and the error sensor is not flat and distorts secondary noises. Consequently, the performance of ANC is degraded by the transfer function. In this paper, a single sensor ANC which considers the characteristics of the speaker and the error sensor is proposed. To reduce distortion of secondary noises, the transfer function is estimated by adaptive inverse modelling and the primary noises are estimated by Kalman filter. Experimental results show that the proposed single sensor ANC effectively attenuates noises.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.3
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• pp.169-174
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• 2015

Noise problem that occurs on the road is raising a lot of problems in the economic, social and environmental aspects. The active noise control (ANC) systems based on the filtered-X least mean square(FxLMS) algorithm have a problem with compensating the acoustic feedback of secondary route. However, newly proposed correlation-LMS(CLMS) and expanded CLMS algorithms have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time. The CLMS and expanded CLMS algorithm was developed to improve the real-time implementation performance under the variable input noise such as road noise environment. In this paper, we compared and analyzed their performance. From the results of the Matlab simulation for an ANC system, it is shown that expanded CLMS algorithms are more convergence speed and keep the desirable performance even in the input of road noise situation.

• Journal of Korean Medical classics
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• v.18 no.2 s.29
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• pp.190-204
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• 2005

The purpose of this research is to discover changes of WBC and ANC numbers before and after applying Oriental medicine therapy to blood cancer patients. After that, appropriate music therapy method was well planned and carried for patients. Demonstration and music were conducted according to Ohaeng theory. The oriental music therapy was conducted three hours everyday by listening to music and we made patients participate in playing the instrument for one hour in two times a week. The result was verified in three ways by checking and comparing numbers of WBC, ratio of ANC and New Trophil before and after the experiment. In addition to that verification, we analyzed patients' survey and their response after treatment. The result was that WBC and ANC were efficient as p=0.0419, p=0.0262 each and the ratio of New trophil was not efficient in p=0.999, but partially increased.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.3
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• pp.171-177
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• 2016

Noise problem that occurs in living environment is a big trouble in the economic, social and environmental aspects. In this paper, the filtered-X LMS algorithms, the adjoint LMS algorithms, and the robust adjoint LMS algorithms will be introduced for applications in active noise control(ANC). The filtered-X LMS algorithms is currently the most popular method for adapting a filter when the filter exits a transfer function in the error path. The adjoint LMS algorithms, that prefilter the error signals instead of divided reference signals in frequency band, is also used for adaptive filter algorithms to reduce the computational burden of multi-channel ANC systems such as the 3D space. To improve performance of the adjoint LMS ANC system, an off-line measured transfer function is connected parallel to the LMS filter. This parallel-fixed filter acts as a noise controller only when the LMS filter is abnormal condition. The superior performance of the proposed system was compared through simulation with the adjoint LMS ANC system when the adaptive filter is in normal and abnormal condition.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.133-136
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• 1999

본 논문은 사무실 환경에서의 소음 제어를 목표로 하여 두 센서를 이용한 ANC시스템을 모의 실험하였다. 특히 제어가 어려운 광대역 신호를 제어하는데 그 목적을 두고 적응 알고리즘의 성능분석을 하였다. 실험 결과 Delayed-x LMS는 200Hz이상에서는 좋은 성능을 보이지만 200Hz 미만의 저주파에서는 잡음 신호를 완전하게 제어하기가 어렵다는 결과를 얻었다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.3
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• pp.669-673
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• 2010

This paper proposes a new active noise control (ANC) system for canceling broadband noise. The proposed ANC system is designed based on the multiband-structured delayless subband adaptive filter (MDSAF), which has advantages of fast-convergence speed and higher noise reduction performance by eliminating the aliasing and band-edge effects caused by band-partitioning. The simulation results show that the proposed ANC system has faster convergence speed as compared to the conventional ANC systems and effectively reduces the wideband noise.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2029_2030
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• 2009

고속철도의 실내소음은 승객들의 질적 서비스와 매우 연관이 깊은 시스템 환경요소라 할 수 있다. 본 논문은 이러한 소음을 저감하기 위한 지능형 알고리즘을 이용한 능동소음제어(ANC; active noise control) 시스템을 제안한다. 우선 철도실내의 소음저감시스템에 대한 기구학적 모델링을 구한 후 철도시스템에 적합한 ANC 기법을 제안한다. 본 논문은 지능형 ANC를 구현하기 위하여 다층 퍼셉트론의 신경회로망 모델을 이용하였으며 실시간으로 소음저감을 위하여 온라인 학습알고리즘을 적용한다. 제안한 ANC 기법의 성능을 검증하기 위하여 시뮬레이션을 실시하였으며 고속 Fourier 변환(FFT) 분석을 통해 소음의 저감정도를 분석한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2002_2003
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• 2009

본 논문은 실시간 능동소음 제어시스템(ANC)을 위한 위상 반전에 관한 연구를 하였다. ANC 기술은 수동적 방법론 보다 적응적으로 그리고 다양한 주파수 대역폭의 소음을 저감할 수 있는 장점으로 다양한 시스템에 적용되고 있다. 본 논문의 목적은 ANC 관련 기술을DSP에 구현하여 실시간 ANC 적용에 대한 가능성을 제시하고자 하였다.