Title :
An unwindowed RLS adaptive lattice algorithm
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
fDate :
3/1/1988 12:00:00 AM
Abstract :
A covariance-RLS lattice adaptive-filtering algorithm is presented. The algorithm permits nonzero initial conditions and need not `warn´ N-1 iterations in advance of the first iteration to preserve its low computational requirements. These are both improvements over previous lattice algorithms. The algorithm also has a slight computational advantage over previous solutions, rendering it more applicable to adaptive-filtering applications such as fast-starting adaptive equalizers and echo cancellers, where the initial data in the adaptive filter are not, and cannot be assumed to be, zero
Keywords :
filtering and prediction theory; iterative methods; covariance-RLS lattice adaptive-filtering algorithm; echo cancellers; fast-starting adaptive equalizers; iteration; nonzero initial conditions; unwindowed RLS adaptive lattice algorithm; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Convergence; Echo cancellers; Filtering; Lattices; Least squares methods; Resonance light scattering; Signal processing algorithms;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on