DocumentCode :
1245596
Title :
Levinson-type algorithms for polynomial fitting and for Cholesky and Q factors of Hankel and Vandermonde matrices
Author :
Porsani, Milton José ; Ulrych, Tadeusz J.
Author_Institution :
Programa de Pesquisa e Pos-Graduacao em Geofisica, Univ. Federal da Bahia, Salvador, Brazil
Volume :
43
Issue :
1
fYear :
1995
fDate :
1/1/1995 12:00:00 AM
Firstpage :
63
Lastpage :
70
Abstract :
This paper presents Levinson (1947)-type algorithms for (i) polynomial fitting (ii) obtaining a Q decomposition of Vandermonde matrices and a Cholesky factorization of Hankel matrices (iii) obtaining the inverse of Hankel matrices. The algorithm for the least-squares solution of Hankel systems of equations requires 3n2+9n+3 multiply and divide operation (MDO). The algorithm for obtaining an orthogonal representation of an (m×n) Vandermonde matrix X and computing the Cholesky factors F of Hankel matrices requires 5mn+n2 +2n-3m MDO, and the algorithm for generating the inverse of Hankel matrices requires 3(n2+n-2)/2 MDO. Our algorithms have been tested by means of fitting of polynomials of various orders and Fortran versions of all subroutines are provided in the Appendix
Keywords :
Hankel matrices; least squares approximations; matrix inversion; polynomials; Cholesky factorization; Cholesky factors; Fortran; Hankel equations; Hankel matrices; Levinson-type algorithms; Q decomposition; Q factors; Vandermonde matrices; algorithm; inverse Hankel matrices; least-squares solution; multiply and divide operation; orthogonal representation; polynomial fitting; subroutines; Algorithms; Equations; Error correction; Geophysics; Matrix decomposition; Polynomials; Q factor; Reflectivity; Testing; Wiener filter;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.365286
Filename :
365286
Link To Document :
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