• Title/Summary/Keyword: IMADF

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Improved Multiplication Free Adaptive Digital Filter with the Fractionally-Spaced Equalizer (분할등화기를 이용한 개선된 비적적응필터)

  • Yoon, Dal-Hwan
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.2
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    • pp.137-146
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    • 2002
  • In order to remove the intersymbol interference(ISI) phenomenon in data transmission channel, the structure and convergence analysis of the improved multiplication free adaptive digital filter(IMADF) is presented. Under conditions of zero-mean, wide-sense stationary and white Gaussian noise, it is shown that this paper analyze the convergence characteristics of the IMADF with a fractionally-spaced equalizer(FSE). In the experimental results, the convergence characteristics of the IMADF algorithm is almost same as the sign algorithm, but is better than the MADF algorithm. Here, this algorithm has useful characteristics when the correlation of the input signal is highly.

An IMADF Algorithm for Adaptive Noise Cancelation of Biomedical Signal (생체신호의 적응잡음제거를 위한 비적적응필터 알고리즘)

  • Yoon, Dal-Hwan;Lin, Chi-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.1
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    • pp.59-67
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    • 2009
  • In this paper, we have proposed the structure of the IMADF(improved modified multiplication-free adaptive filter) to cancel the adaptive noise in biomedical signals. The IMADF structure use the one-step predicted filter in the multiplication-free adaptive digital filter(MADF) structure using the DPCM and Sign algorithm. And then we use the heart phantom model based on the magnetocardiographic (MCG) to test the biomedical signals and analyze the signal of it. Their functions of the heart phantom occur from the multidipole current source. This can play role the same in the real function of the human heart to study it. In the experimental results, the IMADF algorithm has reduced the computational complexity by use of only the addition operation without a multiplier. Also, under the condition of identical stationary-state error, it could obtain the stabled convergence characteristics that the IMADF algorithm is almost same as the sign algorithm, but is better than the MADF algorithm. Here, this algorithm has effective characteristics when the correlation of the input signal is highly.

Convergence Analysis of IMADF Algorithm to Reduce the ISI in Fast Data Transmission

  • Yoon, Dal-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.9B
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    • pp.1226-1235
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    • 2001
  • The convergence analysis of the improved multiplication free adaptive digital filter (IMADF) with a fractionally-spaced equalizer (FSE) to remove the intersymbol interference (ISI) in fast data transmission is presented. The IMADF structure use the one-step predicted filter in the multiplication-free adaptive digital filter (MADF) structure using the DPCM and Sign algorithm. In the experimental results, the IMADF algorithm has reduced the computational complexity by use of only the addition operation without a multiplier. Also, under the condition of identical stationary-state error, it could obtain the stabled convergence characteristic that the IMADF algorithm is almost same as the sign algorithm, but is better than the MADF algorithm. Here, this algorithm has effective characteristics when the correlation of the input signal is highly.

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