Sorim Chung

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A least-mean-square algorithm, the stochastic gradient search least-mean-square (SGSLMS) algorithm, is proposed. It is robust to noise in the gradient estimate and has fast convergence without having to use an optimal step size. The SGSLMS algorithm is realized by estimating the correlation between the adaptive error and the input signals using as proposed(More)
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