A new gradient-based algorithm using variable step-size technique and its application [adaptive IIR notch filter]

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Abstract

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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Adaptive algorithm, Adaptive filters, Adaptive signal detection, Additive white noise, Convergence, Gaussian noise, IIR filters, Interference cancellation, Noise cancellation, Noise robustness

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IEEE Asia Pacific Conference on Circuits and Systems Proceedings Apccas, 1, 309-312, 2002

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