• Title/Summary/Keyword: Adaptive filter

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Design of a wavelet adaptive filter for removal of the baseline wandering (기저선 변동 제거를 위한Wwavelet Adaptive Filter의 설계)

  • 박광리;이경중;윤형로
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.10
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    • pp.80-88
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    • 1997
  • This paper describes a design of a Wavelet Adaptive Filter(WAF) for the removal of the baseline wandering and the minimization of the signal distortion using by wavelet transform and adaptive filter in the ECG signal. WAF consists of two parts. The first part is wavelet transform that decomposes the ECG signal into seven frequency bands using Vaidyanathan and Hoang wavelet. The second part is adaptive filter that uses the signal of seventh low frequency band among the wavelet transformed signals as primary input and a unit impulse sequence as reference input. For the evaluation of the performance of WAF, we used several baseline wandering elimination filters such as commerical standard filter with cutoff frequency of 0.5Hz and general adaptive filter. We made use of MIT/BIH database and real patient data for the evaluation. In conclusion, WAF showed a lower ST segement distortion than standard filter and adaptive filter and has a higher eliminated noise power than standard filter and adaptive filter.

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A New Sign Subband Adaptive Filter with Improved Convergence Rate (향상된 수렴속도를 가지는 부호 부밴드 적응 필터)

  • Lee, Eun Jong;Chung, Ik Joo
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.5
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    • pp.335-340
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    • 2014
  • In this paper, we propose a new sign subband adaptive filter to improve the convergence rate of the conventional sign subband adaptive filter which has been proposed to deal with colored input signal under the environment with impulsive noise. The existing sign subband adaptive filter does not increase the convergence speed by increasing the number of subband because each subband input signal is normalized by $l_2-norm$ of all of the subband input signals. We devised a new sign subband adaptive filter that normalizes each subband input signal with $l_2-norm$ of each subband input signal and increases the convergence rate by increasing the number of subband. We carried out a performance comparison of the proposed algorithm with the existing sign subband adaptive filter using a system identification model. It is shown that the proposed algorithm has faster convergence rate than the existing sign subband adaptive filter.

A Study on the Algorithm for the Frequency Domanin-Adaptive Filter (주파수 영역-적응 필터 알고리즘에 관한 연구)

  • 신윤기;이종옥
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.2
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    • pp.18-24
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    • 1985
  • Above certain filter order, the frequency domain -adaptive filter is superior to the time domain-adaptive filter in computational complexity. In this paper a new type algorithm, $\mu$-FLMs algorithm, is proposed for the frequency domain- adaptive filter and the characteristics of the proposed algorithm is compared with that of the time domain- adaptive filter algorithm($\mu$-FLMS algorithm). The simulation results showed that under the same convergence rate , the frequency domain-adaptive filter is efficient in compu tational burden.

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Implementation of Multi-adaptive Filter for EOG Removal and Biofeedback Output Controller

  • Ahn, Bo-Sep;Kim, Pil-Un;Cho, Jin-Ho;Kim, Myoung-Nam
    • Journal of Korea Multimedia Society
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    • v.7 no.12
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    • pp.1650-1656
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    • 2004
  • In this paper, a multi-adaptive filter is proposed for removing EOG and the 60 Hz power supply noise from EEG measured in the frontal lobe and the feedback output control method is implemented for biofeedback. The multi-adaptive filter has been implemented on the TMS320C6711 DSP system and the feedback output control algorithm has been realized by calculating the ratio of alpha wave on the TMS320C31 DSP system with real time performance. Through the experiment using the implemented multi-adaptive filter and feedback output controller, we demonstrate that the proposed adaptive filter effectively removes EOG and the 60 Hz power supply noise from the measured EEG in the frontal lobe and the feedback algorithm controls the level of stimulation by the ratio of the alpha wave.

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Design of a Cascade Adaptive Filter for the Removal of Baseline Drift (기저선 변동 제거를 위한 종속 적응필터의 설계)

  • Park, Kwang-Li;Lee, Se-Jin;Lee, Kyoung-Joung;Yoon, Hyung-Ro
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.11
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    • pp.101-104
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    • 1995
  • In this paper, we designed a cascade adaptive filter for elimination of the baseline drift and the distortion of the filtered signal. The cascade adaptive filter(CAF) consists of two filters. The first adaptive filter which has the cutoff frequency of 0.3Hz eliminate the noisy signal. The second adaptive filter remove the remnant baseline drift which is not eliminated by the first adaptive filter. Comparing the performance of the CAF with standard filter, recursive notch filter(RNF) and a adaptive impulse correlated filter(AICF), the CAF showed a higher performance in removal of the baseline drift than standard filler, and RNF. Also, considering the distortion of filtered signal, CAF is better than AICF and is comparable to the standard filter.

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Adaptive filter Design for INS/GPS (INS/GPS를 위한 적응필터 구성)

  • Yu Myeong-Jong
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.8
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    • pp.717-725
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    • 2005
  • The adaptive filter is proposed for the INS/GPS. The proposed filter can estimate the variance of the process noise using the residual of the filter. To verify the efficiency of the adaptive filter, it is applied to the loosely-coupled INS/CPS that employs the additive quaternion error model. Simulation results demonstrate that the proposed filter is more effective in estimating the attitude error than EKF.

A General Analysis and Complexity Reduction for the Lattice Transversal Joint Adaptive Filter

  • Yoo, Jae-Ha
    • Proceedings of the IEEK Conference
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    • pp.2035-2038
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    • 2002
  • The necessity of the filter coefficients compensation for the LTJ adaptive filter was explained generally and easily by analyzing it with respect to the time-varying transform domain adaptive filter. And also the reduction method of computational complexity for filter coefficients compensation was proposed and its effectiveness was verified through experiments using artificial and real speech signals. The proposed adaptive filter reduces the computational complexity for filter coefficients compensation by 95%, and when the filter is applied to the acoustic echo canceller with 1000 taps, the total complexity is reduced by 82%

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INS/GPS Integration System Using Adaptive Filter with Estimating Measurement Noise Variance (측정잡음 분산추정 적응필터를 이용한 INS/GPS 결합 시스템)

  • Yu, Myeong-Jong
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.7
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    • pp.688-693
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    • 2007
  • The INS/GPS integration system is designed by employing an adaptive filter that can estimate the measurement noise variance using the residual of the filter. To verify the efficiency of the proposed loosely-coupled INS/GPS integration system, simulation is performed by assuming that GPS information has large position errors. Simulation results show that the proposed integration system with the adaptive filter is more effective in estimating the position and attitude errors than those with the Extended Kalman Filter.

Modification of Generalized Side-lobe Canceller with an Adaptive filter and Compensator

  • Jeon, Byung-Wook;Park, Keun-Soo;Park, Jang-Sik;Son, Kyung-Sik
    • Proceedings of the Korea Multimedia Society Conference
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    • pp.427-430
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    • 2003
  • This paper proposes a modified generalized side-lobe canceller with a summed adaptive filter and an adaptive compensator. A summed adaptive filter reduces computational loads and the adaptive compensator minimizes the misadjustment of the adaptive filter coefficients . Computer simulations explain the performance improvement of the proposed method and the conventional generalized side-lobe canceller.

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Adaptive Filter Design for Radar Aided SDINS (레이다 보정형 스트랩다운 관성항법시스템을 위한 적응필터 구성)

  • 유명종;박찬주;김현백
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.6
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    • pp.420-424
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    • 2003
  • A new adaptive filter is proposed for an aided strapdown inertial navigation system(SDINS). The proposed filter can be used to effectively estimate the time-varying variance of the measurement noise. Then, the in-flight alignment for the radar aided SDINS is designed using the additive quatermion error model. Simulation results show that the proposed adaptive filter effectively improves the performance of the radar aided SDINS.