New adaptive IIR filtering algorithms based on theSteiglitz-McBride method
IEEE Transactions on Signal Processing
Learning rules for neuro-controller via simultaneous perturbation
IEEE Transactions on Neural Networks
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A new IIR adaptive filter algorithm is proposed in which the filter structure is constructed as a cascade of a transversal structure and an all pole lattice structure. The filter structure is adapted using the Steiglitz-McBride method in which the transversal section and lattice sections are updated using the simultaneous perturbation method. Proposed algorithm preserves the stability of the IIR adaptive filter during the adaptation with a lower computational complexity than conventional algorithms. Simulation results show the desirable features of proposed scheme.