Title :
Extended RLS lattice adaptive filters
Author :
Merched, Ricardo
Author_Institution :
Dept. of Electron. & Comput. Eng., Fed. Univ. of Rio de Janeiro, Brazil
Abstract :
This paper solves the problem of developing exact fast weighted RLS lattice adaptive filters for input signals induced by general orthonormal filter models. The resulting algorithm can be viewed as a counterpart of the extended fast fixed-order RLS adaptive filters previously derived.
Keywords :
FIR filters; adaptive filters; filtering theory; lattice filters; least squares approximations; recursive filters; FIR-based RLS lattice algorithms; exact fast weighted RLS filters; extended RLS lattice adaptive filters; extended fast fixed-order RLS adaptive filters; general orthonormal filter models; input signals; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Finite impulse response filter; IIR filters; Kalman filters; Lattices; Resonance light scattering; Signal processing algorithms; Transversal filters;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2003.815385
