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    Fast convergence algorithm for adaptive IIR notch filter using combination of genetic search and variable step-size algorithm
    (2003-01-01)
    Benjangkaprasert, C.
    ;
    Phuvasitkul, S.
    ;
    Limwong, W.
    ;
    Janchitrapongvej, K.
    In this paper, the combination of genetic algorithm and a new variable step-size algorithm Tor a second-order adaptive IIR notch filter is presented. The objective of the new algorithm is to optimize the filter coefficient. The results of computer simulation show that the new algorithm provides a good performance such as fast convergence rate, low mean square error and noise robustness. In addition, the new algorithm is also applied to cancel 50-Hz power line interference in the recording of electrocardiograms signal.
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    A new gradient-based algorithm using variable step-size technique and its application [adaptive IIR notch filter]
    (2002-01-01)
    Benjangkaprasert, C.
    ;
    Jorphochaudom, S.
    ;
    Phuvasitkul, S.
    ;
    Anantrasirichai, N.
    In this paper, a new class of gradient-based algorithm by using variable step-size technique for a second-order adaptive IIR notch filter is presented. An adaptation step-size parameter for the algorithm is worked out from the output signal and the gradient signal. The adaptive algorithm is used for detection of a sinusoid with additive white Gaussian noise, impulse noise and cancellation of 50-Hz interference in the recording of electrocardiogram signals. The performance of this algorithm is proved here to give high convergence speed, high impulse noise robustness and good efficiency of 50-Hz interference cancellation. Finally, the results of computer simulation are given to demonstrate the performance of the proposed algorithm for the adaptive IIR notch filter.