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Optimal variable step size for the LMS/Newton algorithm with application to subband adaptive filtering

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2 Author(s)
Diniz, P.S.R. ; Programa de Engenharia Eletrica, Federal Univ. of Rio de Janeiro, Brazil ; Biscainho, L.W.P.

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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Signal Processing, IEEE Transactions on  (Volume:40 ,  Issue: 11 )