DocumentCode :
1275868
Title :
A relationship between the recursive least squares update and homotopy continuation methods
Author :
Stonick, Virginia L. ; Alexander, S.T.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume :
39
Issue :
2
fYear :
1991
fDate :
2/1/1991 12:00:00 AM
Firstpage :
530
Lastpage :
532
Abstract :
The authors present an alternative derivation of the general recursive least squares (RLS) algorithm using homotopy approaches. Homotopy continuation methods are briefly described, and a simple iterative update for path following is derived. A homotopy function is then constructed using the RLS filtering criteria. The equivalence between the iterative update for following the path defined by this homotopy function and the general RLS update is derived. Finally, an intuitive explanation of this result is presented
Keywords :
adaptive filters; filtering and prediction theory; iterative methods; least squares approximations; signal processing; RLS; RLS filtering criteria; homotopy continuation methods; homotopy function; iterative update; path following; recursive least squares update; signal processing; Adaptive arrays; Adaptive signal processing; Array signal processing; Equations; Least squares methods; Polynomials; Resonance light scattering; Signal processing algorithms; Speech processing; Vectors;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.80849
Filename :
80849
Link To Document :
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