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A Coupled Lms-Ls Approach to Output-Error Adaptive IIR Filtering

This paper presents a new adaptive algorithm for IIR filters based on output-error formulation combining the least mean square (LMS) method with its low complexity and the least square (LS) approach with its fast convergence into a coupled LMS-LS adaptation scheme. The LhlS is used to update the numerator coefficients, while a LS-type method is used to update the denominator coefficients. Simulation examples indicate that the proposed approach converges significantly faster than the LhlS with minimal increase in complexity.