DocumentCode :
1217843
Title :
An unwindowed RLS adaptive lattice algorithm
Author :
Cioffi, John M.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume :
36
Issue :
3
fYear :
1988
fDate :
3/1/1988 12:00:00 AM
Firstpage :
365
Lastpage :
371
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;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.1533
Filename :
1533
Link To Document :
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