• 제목/요약/키워드: Signal smoothing

검색결과 141건 처리시간 0.022초

Smoothing 기법을 이용한 속도신호의 노이즈제거 및 가속도 추정 (Estimation of acceleration by noise rejection from velocity signals using Smoothing technique)

  • 이강원;김명룡;온정근;홍용기
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2003년도 추계학술대회 논문집(III)
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    • pp.247-251
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    • 2003
  • The velocity of train which is measured from pulse generator attached to TM is used for displaying or control signal of inverter and so on. Measured signals increase and decrease step-by-step by pulse counting or monotonously by F/V conversion. But noises and signal distortions by measuring error like alias make it difficult to provide correct velocity infomation and estimate the acceleration. In this paper, we investigated the performance of Smoothing method for suppressing the noises in velocity signals. And the difference between Smoothed signal and origin velocity signals is inspected and the comparison with low pass filtering show applicable of Smoothing method for noise rejection and the estimation of signal. Finally, acceleration curves estimated from Smoothing method are compared with real accelerator signal attached to train.

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A Study on The Jump Error Smoothing Scheme by Fuzzy Logic

  • Lee, Tae-Gyoo;Kim, Kwang-Jin
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.56.3-56
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    • 2001
  • This study describes the jump error smoothing scheme with fuzzy logic based on the scalar adaptive filter. The scalar adaptive filter is an useful algorithm for smoothing abrupt jump errors. However, the performances of scalar adaptive algorithm depend on the variance of real signal. So to design an effective algorithm, many informations of real and jump signal are required. In this paper, the fuzzy rules are designed by the analysis of scalar adaptive filter, and then the improved and simplified scheme is developed for smoothing the jump error. Simulations to INS/GPS integrated system show that the proposed method is effective.

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Reproducibility of Electromyography Signal Amplitude during Repetitive Dynamic Contraction

  • Mo, Seung-Min;Kwag, Jong-Seon;Jung, Myung-Chul
    • 대한인간공학회지
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    • 제30권6호
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    • pp.689-694
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    • 2011
  • Objective: The aim of this study is to evaluate the fluctuation of signal amplitude during repetitive dynamic contraction based on surface electromyography(EMG). Background: The most previous studies were considered isometric muscle contraction and they were difference to smoothing window length by moving average filter. In practical, the human movement is dynamic state. Dynamic EMG signal which indicated as the nonstationary pattern should be analyzed differently compared with the static EMG signal. Method: Ten male subjects participated in this experiment, and EMG signal was recorded by biceps brachii, anterior/posterior deltoid, and upper/lower trapezius muscles. The subject was performed to repetitive right horizontal lifting task during ten cycles. This study was considered three independent variables(muscle, amplitude processing technique, and smoothing window length) as the within-subject experimental design. This study was estimated muscular activation by means of the linear envelope technique(LE). The dependent variable was set coefficient of variation(CV) of LE for each cycle. Results: The ANOVA results showed that the main and interaction effects between the amplitude processing technique and smoothing window length were significant difference. The CV value of peak LE was higher than mean LE. According to increase the smoothing window length, this study shows that the CV trend of peak LE was decreased. However, the CV of mean LE was analyzed constant fluctuation trend regardless of the smoothing window length. Conclusion: Based on these results, we expected that using the mean LE and 300ms window length increased reproducibility and signal noise ratio during repetitive dynamic muscle contraction. Application: These results can be used to provide fundamental information for repetitive dynamic EMG signal processing.

Quantitative analysis by derivative spectrophotometry (ll) Derivative spectrophotometry and methods for the reduction of high frequency noises

  • Park, Man-Ki;Cho, Jung-Hwan
    • Archives of Pharmacal Research
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    • 제10권1호
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    • pp.1-8
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    • 1987
  • One of the problems of derivatie spectrophotometry, the decrease of signal-to-noise ratio by derivative operations, was solved by three concepts of digital filtering, ensemble averaging, least squares polynomial smoothing and Fourier smoothing. The suthors made several compouter programs written in APPLE SOFT BASIC language for the actual applications of the concepts of these digital filters on UV spectrophotometer system. As a result, ensemble averaging could not be used as a routine operation for the spectrophotometer used. The maximum S/N ratio enhancement factors achieved by least squares polynomial smoothing were 6.17 and 7.47 for the spectra of Gaussian and Lorentzian distribution models, and by Fourier smoothing 16.42 and 11.78 for the spectra of two models, respectively.

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2차 평활요소를 이용한 CDBC의 설계 (Design of a CDBC Using Second-order Smoothing Element)

  • 김진용;김성열;이금원
    • 융합신호처리학회논문지
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    • 제3권1호
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    • pp.67-73
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    • 2002
  • 본 논문은 2차 평활요소를 사용한 최적 연속계 유한정정 서보시스템의 새로운 설계법을 제시한다. 직렬 적분 보상기와 지역 귀환보상기를 상태귀환 루프에 도입하여 연속유한정정제어기를 만든다. 평활요소의 감쇄비와 고유 각주파 수의 결정법을 서술한다. 입출력 특성이 어떻게 개선되는지를 수치예제를 통하여 보인다. 특히 임의의 시간에 인가되는 외란 및 가변 입력에 대한 CDBC를 설계하는 방법을 제시한다.

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A GAUSSIAN SMOOTHING ALGORITHM TO GENERATE TREND CURVES

  • Moon, Byung-Soo
    • Journal of applied mathematics & informatics
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    • 제8권3호
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    • pp.731-742
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    • 2001
  • A Gaussian smoothing algorithm obtained from a cascade of convolutions with a seven-point kernel is described. We prove that the change of local sums after applying our algorithm to sinusoidal signals is reduced to about two thirds of the change by the binomial coefficients. Hence, our seven point kernel is better than the binomial coefficients when trend curves are needed to be generated. We also prove that if our Gaussian convolution is applied to sinusoidal functions, the amplitude of higher frequencies reduces faster than the lower frequencies and hence that it is a low pass filter.

평활화 스플라인 연산과 형태학 연산을 이용한 기저선 변동 잡음 제거 (Removing Baseline Drift from ECG Signal Using Smoothing Spline and Morphology Operation)

  • 백승관;최창훈;김정홍
    • 한국통신학회논문지
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    • 제42권1호
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    • pp.162-171
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    • 2017
  • 심전도 신호에 있는 저주파 잡음 성분은 기저선 변동을 일으킨다. 본 논문에서는 기저선 변동이 있는 심전도 신호에 대하여 형태학 연산과 평활화 스플라인 연산을 사용하여 기저선 변동 잡음을 제거하였다. 형태학 연산만 이용하여 기저선 변동 잡음을 제거하는 경우, 사용한 구조요소에 따라 원 신호의 특징점 정보를 손상시킬 수 있다. 형태학 연산의 단점을 해결하기 위하여, 형태학 연산 후 평활화 스플라인 연산을 적용하였다. ECG 신호 처리를 위한 기존의 형태학 연산을 이용한 방법과 본 논문에서 제안된 방식을 MIT/BIH 데이터베이스에서 제공하는 심전도 임상 데이터에 각각 적용하여 비교하였다. 실험을 통해 본 논문에서 제안된 방식이 기존 방식보다 원신호에 대한 데이터 왜곡도가 낮음을 확인하였다.

Improved Adaptive Smoothing Filter for Indoor Localization Using RSSI

  • Kim, Jung-Ha;Seong, Ju-Hyeon;Ha, Yun-Su;Seo, Dong-Hoan
    • Journal of Advanced Marine Engineering and Technology
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    • 제39권2호
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    • pp.179-186
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    • 2015
  • In the indoor location estimation system, which has recently been actively studied, the received signal strength indicator contains a high level of noise when measuring the signal strength in the range between two nodes consisting of a receiver and a transceiver. To minimize the noise level, this paper proposes an improved adaptive smoothing filter that provides different exponential weights to the current value and previous averaged one of the data that were obtained from the nodes, because the characteristic signal attenuation of the received signal strength indicator generally has a log distribution. The proposed method can effectively decrease the noise level by using a feedback filter that can provide different weights according to the noise level of the obtained data and thus increase the accuracy in the distance and location without an additional filter such as the link quality indicator, which can verify the communication quality state to decrease the range errors in the indoor location recognition using ZigBee based on IEEE 802.15.4. For verifying the performance of the proposed improved adaptive smoothing filter, actual experiments are conducted in three indoor locations of different spatial sections. From the experimental results, it is verified that the proposed technique is superior to other techniques in range measurement.

공간보간 기법을 이용한 공간평활 적응 어레이 알고리듬 (Spatial Smoothing Algorithm Using Spatial Interpolation Technique in Adaptive Array)

  • 윤동현;문성훈;한동석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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    • pp.545-548
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    • 2000
  • Adaptive array systems are hard to remove all the interferences when incident signals are coherent with a desired signal. In this paper, we propose a modified Duvall beamformer, which performs spatial smoothing using spatial interpolation technique to maintain the degree of freedom. The propose algorithm can minimize the loss on the degree of freedom due to spatial smoothing by forming subarrays with interpolated signals. Simulation results show that the proposed algorithm can remove all the interferences while conventional beamformer cannot.

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멀티스트림을 이용한 비디오 스트림의 평활화 (Video Stream Smoothing Using Multistreams)

  • 강경원;문광석
    • 융합신호처리학회논문지
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    • 제3권1호
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    • pp.21-26
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    • 2002
  • 비디오 스트림들은 사용된 압축 알고리듬의 구조와 화면의 복잡도 등에 따라 다양한 형태의 트래픽이 발생함으로, 송신측과 수신측 사이의 자원할당을 어렵게 할 뿐만 아니라, 현재의 인터넷과 같은 패킷 통신망에서는 연속적인 재생을 어렵게 한다. 따라서, 본 논문에서는 멀티스트림을 이용한 비디오 스트림의 평활화 방법을 제안한다. 제안한 방법은 스트림의 형태에 따라 LDU(logical data unit)를 정의한 후 일정한 크기로 다수의 스트림으로 생성하여 전송함으로써, 평활화와 선반입 과정에서 발생하는 버퍼링 시간을 줄일 수 있을 뿐만 아니라 네트워크의 지터에도 강하면, 클라이언트의 대역폭을 최대한 활용할 수 있는 효율적인 전송 특성을 얻을 수 있다.

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