• 전자공학회논문지S
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• 제34S권12호
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• pp.106-113
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• 1997

While driving, the low frequency interior noise below 200Hz causes the main component that irritates the auditory acoustic sense. But these passive control methods bring out increment in cost and weight of the vehicle and result in low efficiency. Recently, various ANC(Active Noise Control) methos to suppress the low frequency noise began to launch into application. In this study, we implemented the active noise control system for passenger vehicle to cancel the engine booming noise using DSP-based control unit, 4 micorphones, and 2 speakers. We used MEFX-LMS (Multiple Error Filtered X-Least Mean Square) algorithm since it can be easily implemented in real time. Also, MEFX-RLS algorithm was taken to enhance the suppression of the harmonic components of the engine booming noise inspite of its computational complexity. The performance of two adaptive algorithms were analyzed with experimental resutls.

• 한국전자파학회논문지
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• 제13권5호
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• pp.475-483
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• 2002

적응형 전치왜곡 선형화기를 안정화하기 위한 구조를 제안한다. 증폭기 궤환 루프에 의한 출력 신호의 루프 지연을 보상하기 위해 지연 제어 회로를 추가하고, 적응 앨거리즘으로 사용된 RLS 앨거리즘이 갖는 수치적 불안정성을 완화하기 위하여 Yang의 앨거리즘을 도입한다. 이 방법을 다항식형 전치왜곡기를 이용한 선형화기에 적용하고 모의실험을 통하여 그 효용성을 확인한다.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2004년도 추계학술발표대회논문집 제23권 2호
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• pp.527-530
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• 2004

We present a recursive total least squares (RTLS) algorithm for multilayer feedforward neural networks. So far, recursive least squares (RLS) has been successfully applied to training multilayer feedforward neural networks. But, when input data contain additive noise, the results from RLS could be biased. Such biased results can be avoided by using the recursive total least squares (RTLS) algorithm. The RTLS algorithm described in this paper gives better performance than RLS algorithm over a wide range of SNRs and involves approximately the same computational complexity of $O(N^{2})$.

• The Journal of the Acoustical Society of Korea
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• 제22권3E호
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• pp.93-100
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• 2003

We present a recursive total least squares (RTLS) algorithm for adaptive system identification. So far, recursive least squares (RLS) has been successfully applied in solving adaptive system identification problem. But, when input data contain additive noise, the results from RLS could be biased. Such biased results can be avoided by using the recursive total least squares (RTLS) algorithm. The RTLS algorithm described in this paper gives better performance than RLS algorithm over a wide range of SNRs and involves approximately the same computational complexity of O(N²).

• 전력전자학회논문지
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• 제5권6호
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• pp.575-583
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• 2000

본 논문에서는 이관성 시스템의 기계계 파라미터의 새로운 추정 알고리즘을 제안한다.RLS(Recursive Least Square) 알고리즘과 가속도정보를 이용하여 이관성 시스템의 부하의 관성, 전동기 관성 그리고 축강성을 추정하고 시뮬레이션과 실힘을 통해 제안된 기법의 유효성을 검증한다.

• 한국통신학회논문지
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• 제21권6호
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• pp.1447-1452
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• 1996

In this papre, a complex fuzzy adaptive decision feedback equalizer using the RLS algorithm is proposed. The proposed equalizer is based on the complex fuzzy adaptive equalizer. The 'IF'-part of the complex fuzzy adaptive decision feedback equalizer has membership functions which are characterized by the sate of decision feedback. The role of decision feedback is to reduce the computational complexity. Computer simulation shows that the proposed equalizer not only reduces the computational complexity but also improves the performance compared with the conventional complex fuzzy adaptive equalizers under the assumption of perfect knowledge of the linear and nonlinear channels. The effects of error propagation due to wrong decision feedback is also shown.

• The Journal of the Acoustical Society of Korea
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• 제12권1E호
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• pp.5-11
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• 1993

본 논문에서는 페이딩 채널에서 백색 가우시안 잡음과 임펄스성 잡음이 부가된 디지털 신호를 복원하기 위하여 적응 LMS알고리즘과 RLS 알고리즘을 사용하여 TDL 등화기, 결정 궤환 등화기, 그리고 격자 등화기의 성능을 평가하고 비교하였다. 오차 성능 분석 결과, 페이딩이 존재하고 임펄스성과 가우스성 잡음이 존재하는 채널에서 10-3BER을 얻기 위해서, 격자 등화기는 LMS이 등화기보다 3.0dB, RLS TDL 등화기보다 3.9dB의 신호대 잡음비(SNR)여유를, 그리고 LMS DFE 등화기보다 0.5dB, RLS DFE등화기보다 -0.5dB의 SNR 여유를 갖음을 확인하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1586-1589
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• 2002

RLS algorithm is a kind of the adaptive algorithms in smart antennas and adapts the weight vector using the difference between the output signal of array antennas and the known training sequence. In this paper, we propose a new algorithm based on the RLS algorithm. It calculates the error signal with reference signal derived from blind scheme. Simulation results show that the proposed algorithm yields more user capacity by 67∼74% than other blind adaptive algorithms(LS-DRMTA, LS-DRMTCMA) at the same BER and the beamformer forms null beams toward interference signals and the main beam toward desired signal.

• Annals of Clinical Neurophysiology
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• 제9권1호
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• pp.36-38
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• 2007

The pathomechanisms involved in both restless legs syndrome (RLS) and complex regional pain syndrome type I (CRPS I) are still controversial whether they are central or peripheral origins. We recently encountered a patient who had an unusual coexistence of both RLS and CRPS I, and both of which showed good responses to sympathetic block. These findings suggest the role of peripheral mechanisms, especially unmyelinated small autonomic fiber, in both RLS and CRPS I.

• 한국음향학회지
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• 제16권2호
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• pp.101-106
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• 1997

음성의 천이구간에서의 특징 파라메타를 찾아내기 위하여 본 논문에서는 AR모델을 사용하여 적응적으로 성문폐쇄구간을 찾은 후, 이를 제외한 구간에서 성도 파라메타를 추정함으로써 음원의 피치바이어스 영향을 제거하는 SSRLS(Sample Selective RLS)방법을 제안한다. 성능을 비교하기 위하여 합성음과 실제음에 대하여 포만트 추정실험을 했으며, 실험결과 제안된 방법이 WRLS 보다 우수함을 알 수 있었다.