Optimal variable step size for the LMS/Newton algorithm withapplication to subband adaptive filtering |
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Authors: | Diniz P.S.R. Biscainho L.W.P. |
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Affiliation: | Programa de Engenharia Eletrica, Federal Univ. of Rio de Janeiro; |
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Abstract: | An efficient approach for the computation of the optimum convergence factor for the LMS (least mean square)/Newton algorithm applied to a transversal FIR structure is proposed. The approach leads to a variable step size algorithm that results in a dramatic reduction in convergence time. The algorithm is evaluated in system identification applications where two alternative implementations of the adaptive filter are considered: the conventional transversal FIR realization and adaptive filtering in subbands |
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