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
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