• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2004년도 ICCAS
• /
• pp.2065-2069
• /
• 2004

This paper presents an adaptive equalizer using finite impulse response (FIR) filter and least-mean square (LMS) algorithm. Herein, the variable step-size technique (VSLMS) for compensating the amplitude of chrominance signal is utilized. The proposed equalizer can be enhanced and compressed the chrominance signal at color subcarrier. The LMS algorithm employed in simplicity structure but gives slow convergence speed. Thus, the variable step-size is very attractive algorithm due to its computational efficiencies and the speed of convergence is improved. In addition, experimental results are carried out by using the modulated 20T sine squared test signal. It is shown here that the adaptive equalizer can be equalized the amplitude chrominance distortion in color television transmission without relative delay distortion.

• 전자공학회논문지B
• /
• 제30B권12호
• /
• pp.12-20
• /
• 1993

In a conventional adaptive echo canceller, an ADF(Adaptive Digital Filter) with TDL(Tapped-Delay Line) structure modelling the echo path uses the LMS(Least Mean Square) algorithm to compute the coefficients, and NET detector using energy comparison method prevents the ADF to update the coefficients during the periods of the NET signal presence. The convergence speed of the LMS algorithm depends on the eigenvalue spread ratio of the reference signal and NET detector using the energy comparison method yields poor detection performance if the magnitude of the NET signal is small. This paper presents a new adaptive echo canceller which uses the pre-whitening filter to improve the convergence speed of the LMS algorithm. The pre-whitening filter is realized by using a low-order lattice predictor. Also, a new NET signal detection algorithm is presented, where the start point of the NET signal is detected by computing the cross-correlation coefficient between the primary input and the ADF output while the end point is detected by using the energy comparison method. The simulation results show that the convergence speed of the proposed adaptive echo canceller is faster than that of the conventional echo canceller and the cross-correlation coefficient yields more accurate detection of the start point of the NET signal.

• 한국소음진동공학회논문집
• /
• 제18권3호
• /
• pp.284-292
• /
• 2008

The active control technique mostly uses the least-mean-square(LMS) algorithm, because the LMS algorithm can easily obtain the complex transfer function in real-time, particularly when the Filtered-X LMS(FXLMS) algorithm is applied to an active noise control(ANC) system. However, FXLMS algorithm has the demerit that stability of the control is decreased when the step size become larger but the convergence speed is faster because the step size of FXLMS algorithm is fixed. As a result, the system has higher probability which the divergence occurs. Thus the Co-FXLMS algorithm was developed to solve this problem. The Co-FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Co-FXLMS algorithm is presented in comparison with the FXLMS algorithm. Simulation and experimental results show that active noise control using Co-FXLMS is effective in reducing the noise in duct system.

• 한국음향학회:학술대회논문집
• /
• 한국음향학회 1992년도 학술논문발표회 논문집 제11권 1호
• /
• pp.23-28
• /
• 1992

The purpose of this paper is to develop a new adaptive echo canceller improving convergence speed and near-end-talker detection performance of the conventional echo canceller. In a conventional adaptive echo canceller, an adaptive digital filter with TDL(Tapped-Delay Line) structure modelling the echo path uses the LMS(Least Mean Square) algorithm to cote the coefficients, and NET detector using energy comparison method prevents the adaptive digital filter to update the coefficients during the periods of the NET signal presence. The convergence speed of the LMS algorithm depends on the eigenvalue spread ratio of the reference signal and NET detector using the energy comparison method yields poor detection performance if the magnitude of the NET signal is small. This paper presents a new adaptive echo canceller which uses the pre-whitening filter to improve the convergence speed of the LMS algorithm. The pre-whitening filter is realized by using a low-order lattice predictor. Also, a new NET signal detection algorithm is presented, where the start point of the NET signal is detected by computing the cross-correlation coefficient between the primary input and the ADF(Adaptive Digital Filter) output while the end point is detected by using the energy comparison method. The simulation results show that the convergence speed of the proposed adaptive echo canceller is faster than that of the conventional echo canceller and the cross-correlation coefficient yield more accurate detection of the start point of the NET signal.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2007년도 춘계학술대회논문집
• /
• pp.598-603
• /
• 2007

The active control technique mostly uses the Least-Mean-Square (LMS) algorithm, because the LMS algorithm can easily obtain the complex transfer function in real-time, particularly when the Filtered-X LMS (FXLMS) algorithm is applied to an active noise control (ANC) system. However, FXLMS algorithm has the demerit that stability of the control is decreased when the step size become larger but the convergence speed is faster because the step size of FXLMS algorithm is fixed. As a result, the system has higher probability which the divergence occurs. Thus the Co-FXLMS algorithm was developed to solve this problem. The Co-FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Co-FXLMS algorithm is presented in comparison with the FXLMS algorithm. Simulation results show that active noise control using Co-FXLMS is effective in reducing the noise in duct system.

• 한국정밀공학회지
• /
• 제19권12호
• /
• pp.57-63
• /
• 2002

In this paper, the feedforward control with least mean square (LMS) adaptive algorithm is proposed and examined to reduce rotating error by runout of an active magnetic bearing system. Using eddy-current type gap sensor fur control, the electrical runout caused by non-uniform material properties of sensor target produces rotational error amplified in feedback control loop, so this runout should be eliminated to increase rotating accuracy. The adaptive feedforward controller is designed and examined its tracking and stability performances numerically with established frequency response function. The tested grinding spindle system is manufactured with a 5.5 ㎾ internal motor and 5-axis active magnetic bearing system including 5 eddy current gap sensors which have approximately 15 ~ 30 ${\mu}{\textrm}{m}$ of electrical runout. According to the experimental analysis, the error signal in radial bearings is reduced to less than 5 ${\mu}{\textrm}{m}$ when it is rotating up to 50,000 rpm due to applying the feedforward control for first order harmonic frequency, and vibration of the spindle base is also reduced about same frequency.

• 비파괴검사학회지
• /
• 제25권1호
• /
• pp.27-35
• /
• 2005

초음파 검사 방법은 여러 가지 물질들의 흠집이나 틈새, 티끌 등을 감지해내는데 널리 쓰이고 있다. 그 중 초음파 신호를 분석하는 절차는 전체의 신호처리 과정에서 아주 중요한 역할을 담당하고 있다. 이 논문은 최소평균 제곱 (LMS) 알고리즘을 이용하여 핵 전력 발전소에서 쓰이는 증기 발생기 튜브로부터 감지된 초음파 비파괴검사 신호를 분류 해내는 것에 관한 것이다. 이 초음파 신호는 튜브내의 흠집이나 틈새로부터 감지된 신호일수도 있고 또는 튜브 내의 침전물에 의해서 발생된 신호일 수도 있는데 이 두 가지 신호는 매우 유사하기 때문에 반드시 분류를 해내어 침전물에 의한 신호일 경우는 무방하지만 흠집이나 갈라진 틈새에서 나오는 신호일 경우는 더 이상의 오염이나 사고 등을 방지하기 위해 수리 또는 교체 등의 후속 조치로 이어져야 한다. 이러한 절차를 밟기 위하여 증기 발생기 튜브의 내부에서의 초음파 센서로부터 증기 발생기 튜브 사이의 거리를 측정하는데 모델링 기법에 기반한 deconvolution 방법이 제시되었으며 이 방법은 space alternating generalized expectation maximization (SAGE) 알고리즘을 이차원 미분 파라미터인 Hessian의 사용으로 인하여 수렴 속도가 빠른 Newton-Raphson 알고리즘과 함께 병행 사용하여 초음파 신호의 초점 도달 시간과 그 크기를 측정하여 초점 도달 거리에 따라 두 종류의 신호를 분류, 차별화 하는 기법이다. 이 알고리즘을 이용하여 흠집이나 틈새로부터 나온 신호일 경우와 퇴적물에 의해 나온 신호일 경우로 분류되었고 그 결과가 이 논문에 제시되었다.

• 한국음향학회지
• /
• 제40권1호
• /
• pp.46-54
• /
• 2021

본 논문에서는 가정용 식기세척기의 저주파 대역 방사 소음 저감을 위하여 능동 소음 제어를 수행하였다. 먼저 식기세척기의 소음 환경 분석을 통해 펌프 소음이 저주파 대역 방사 소음에 가장 크게 기여하고 있음을 확인하였고 이를 고려하여 참조 신호를 선정하였다. 참조 신호는 음향피드백을 방지하기 위해 가속도계를 이용하여 펌프 몸체에 부착하여 획득하였다. 오차 신호 센서는 식기세척기 전방 1 m, 높이 0.5 m에 위치한 마이크로폰으로 선정하였다. 다음으로 제어기 설계를 위해 식기세척기의 작동 회전수 2,500 rpm, 2,600 rpm, 2,800 rpm에 대하여 오차 신호와 참조 신호를 측정하고, 2차 경로 전달함수를 측정하였다. 그리고 설계된 제어기를 Digital Signal Processor(DSP) 장비에 탑재 시켜 제어 성능을 시험으로 확인하였다. 시험 결과 펌프 작동 주파수의 7차 배수 성분에서는 회전수 별로 1.93 dB, 4.43 dB, 5.15 dB 만큼 줄었고 12차 배수 성분에서는 회전수 별로 6.67 dB, 2.34 dB, 4.28 dB 만큼 줄었다. 그리고 overall Sound Pressure Level(SPL)은 회전수별로 0.84 dB, 2.58 dB, 1.48 dB 만큼 줄었다.

• 한국통신학회논문지
• /
• 제36권10B호
• /
• pp.1210-1215
• /
• 2011

이 논문에서는 다중경로 특성과 충격성 잡음이 있는 수중 통신 채널에 대해 확률밀도함수 정합 방법에 근거한 적응등화 알고리듬을 소개하고 결정 궤환을 적용한 확률밀도함수 정함 알고리듬을 제안하였다. 기존의 제곱평균오차 기반의 최소평균제곱 (LMS) 알고리듬은 수중통신 채널의 충격성 잡음과 다중경로 채널을 보상하지 못하는 현상을 보였다. 충격성 잡음에 효과적인 면역성을 보인 선형 확률밀도함수 정합 알고리듬도 열악한 다중경로 환경에서는 만족스럽지 못한 성능을 나타났다. 한편, 제안한 결정 궤환 구조의 비선형 확률밀도함수 정합 알고리듬은 수중 통신 채널의 다중경로 특성과 충격성 잡음에 대해 탁월한 강인성을 가짐을 모의실험을 통해 입증되었다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2000년도 하계종합학술대회 논문집(2)
• /
• pp.238-241
• /
• 2000

This paper describes an equalizer using the DFE (Decision Feedback Equalizer) structure, CMA. (Constant Modulus Algorithm) and LMS (Least Mean Square) algorithms. We employ high speed multipliers, square logics and many CSAs (Carry Save Adder) for high speed operations. We have developed floating-point models and fixed-point models using the COSSAP$\^$TM/ CAD tool and developed VHDL models. We have peformed logic synthesis using the SYNOPSYS$\^$TM/ CAD tool and the SAMSUNG 0.5 $\mu\textrm{m}$ standard cell library (STD80). The total number of gates is about 130,000.