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Author: search.filters.author.Janchitrapongvej, K.Subject: search.filters.subject.Adaptive algorithm

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    Echo cancellation using the new variable step-size algorithm adaptive lattice filters
    (2006-12-01)
    Sukhumalwong, S.
    ;
    Benjangkaprasert, C.
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    Anantrasirichai, N.
    ;
    Janchitrapongvej, K.
    Adaptive algorithms are widely used for various application. One challenging application is an echo canceller in the long distance telephony network. 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 the adaptive filtering algorithm. This paper proposes the new variable step-size algorithm for adaptive lattice form structure filter for echo canceller. The proposed algorithm is an excellent in convergence speed, and provides high performance. The structure's stability had improved by Echo Return Loss Enhancement (ERLE). © 2006 ICASE.
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    A new algorithm of adaptive IIR notch filter for the detection of sinusoids
    (2002-01-01)
    Tupchai, P.
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    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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    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.