Further results of a least squares and gradient adaptive lattice algorithm comparison

An expansion of the results presented in [1], which is a comparison of least squares adaptive lattice (LSAL) and gradient adaptive lattice (GAL) linear prediction algorithms is given. New results obtained from the simulation configuration earlier described show close conformity of estimated mean reflection coefficient and squared prediction error sequences for the three algorithms. Additionally, some simulation results obtained using a single impulse superimposed on colored stationary noise and also speech-like data as lattice input processes are presented. In the former case, divergent performance of two coefficient GAL and LSAL is noted and explained.