Low Dynamics RLSL Adaptive Algorithm Using A Priori Estimation Errors

Abstract

This paper proposes a version of RLSL (recursive least-squares lattice) adaptive algorithm using a priori estimation errors. Starting from a modified form of the cost function, based on an asymptotically unbiased estimator of the mean-square error, this algorithm achieves a reduced dynamic range of parameters. This improvement could lead to facility for fixed-point implementation