RLS-Laguerre lattice adaptive filtering: error feedback and array-based algorithms

This paper develops lattice structures for RLS Laguerre adaptive filtering including error-feedback and array-based lattice versions. All structures are efficient in that their computational cost is proportional to the number of taps. Although these structures are theoretically equivalent, their performance can differ under practical considerations, such as finite-precision effects and regularization. Simulations are included to illustrate this point.