DocumentCode :
1275860
Title :
Adaptive polynomial factorization by coefficient matching
Author :
Starer, David ; Nehorai, Arye
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Volume :
39
Issue :
2
fYear :
1991
fDate :
2/1/1991 12:00:00 AM
Firstpage :
527
Lastpage :
530
Abstract :
A polynomial factorization algorithm is presented which updates all roots simultaneously and efficiently in response to coefficient perturbations. The algorithm requires approximately 2n2 complex floating point operations to update all roots of n th order polynomial. Close to the true root vector, the algorithm´s convergence rate is quadratic. The root update requires only the solution of two sets of structured linear equations and a convolution. The algorithm can be used to track the roots of time-varying polynomials which is useful for application in adaptive signal processing
Keywords :
polynomials; signal processing; adaptive polynomial factorisation; adaptive signal processing; coefficient matching; coefficient perturbations; complex floating point operations to update all roots of n; convergence rate; convolution; root update; structured linear equations; time-varying polynomials; true root vector; Adaptive signal processing; Array signal processing; Convolution; Equations; Polynomials; Sensor arrays; Signal processing algorithms; Speech processing; System identification; Vectors;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.80848
Filename :
80848
Link To Document :
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