OPTIMAL CONVERGENCE FACTOR FOR GAUSS-NEWTON ALGORITHMS AND ITS APPLICATION TO AN ADAPTIVE PARALLEL REALIZATION

P.S.R. DINIZ; J. E. COUSSEAU

Rio de Janeiro

Congreso; International Telecommunications Symposium; 1990

Sociedade Brasileira de Telecomunicacoes

This paper propuses an efficient approach for the calculation of the optimal convergence factor for Gauss-Newton algorithms . The method leads to variable step size (convergence factor) algorithms that yields fast convergence, with an acceptable added cost in computational complexity. The results are applied to a recent proposed frequency domain parallel realization for adaptive IIR filter, and evaluated in systems identification applications. Simulations confirm the expected results.