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
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