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Author: search.filters.author.Benjangkaprasert, C.Subject: search.filters.subject.Convergence

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    A new algorithm of adaptive IIR notch filter for the detection of sinusoids
    (2002-01-01)
    Tupchai, P.
    ;
    Benjangkaprasert, C.
    ;
    Sangaroon, O.
    ;
    Janchitrapongvej, K.
    This paper aims to improved the convergence speed, steady-state mean square error and variance of the filter coefficient. The proposed adaptive algorithm is for a second-order adaptive IIR notch filter based on gradient algorithm. The simulation results shown that the proposed algorithm provides fast convergence speed, and has low steady-state mean square error and low variance of filter coefficient.
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    Implementation of variable step-size algorithm for lattice form structure for echo cancellation
    (2002-01-01)
    Benjangkaprasert, C.
    ;
    Teerasakworakun, S.
    ;
    Janchitrapongvej, K.
    Echo return loss and impulse response are important characteristics of an echo path for the design of echo cancellers. The performance of the echo cancellers depends on the choice of adaptive filtering algorithm. This paper proposes a variable step-size algorithm for lattice form structure. The proposed algorithm is excellent in terms of convergence speed, low computational complexity, small number of adaptation coefficients and high performance. The structure's stability was improved by echo return loss enhancement (ERLE).
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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.
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    A robust variable step-size LMS-like algorithm for a second-order adaptive IIR notch filter for frequency detection
    (2001-01-01)
    Punchalard, R.
    ;
    Benjangkaprasert, C.
    ;
    Anantrasirichai, N.
    ;
    Janchitrapongvej, K.
    The best adaptive algorithm requires fast convergence speed, low variance, unbias and low steady-state mean square error (MSE) in both low and high signal-to-noise ratio (SNR) situations. We have proposed a robust variable step-size LMS-like algorithm (VS-LMS-L) for a second-order adaptive IIR notch filter for frequency detection in radar, sonar and communication systems. This algorithm is compared with the conventional LMS-like algorithm called the plain gradient algorithm (PG). The time-varying step-size μ(n) is adjusted by using the square of the time-averaged estimate of autocorrelation of the present output signal y(n) and the past one y(n-1). This technique can reject the effect of the uncorrelated noise sequence on the step-size update, resulting in a small MSE due to the small final μ(n). Moreover, this algorithm can also improve the convergence speed by comparison with the PG at the same MSE value.