Simplified RLS algorithm for adaptive IFIR filtering

In this paper we introduce the optimum interpolated Wiener filter, which results from an original and elegant linearly-constrained approach to the interpolated transversal filtering problem. A GSC-type structure for adaptive IFIR filtering is proposed, in which least-square algorithms can be directly employed for updating only the nonzero coefficients of the sparse filter. The performance of the RLS algorithm applied to the AIFIR filtering is illustrated by simulations and compared with that of the LMS algorithm.