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首页> 外文期刊>IEEE Transactions on Signal Processing >Levinson-type algorithms for polynomial fitting and for Cholesky and Q factors of Hankel and Vandermonde matrices
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Levinson-type algorithms for polynomial fitting and for Cholesky and Q factors of Hankel and Vandermonde matrices

机译:多项式拟合以及Hankel和Vandermonde矩阵的Cholesky和Q因子的Levinson型算法

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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 3n/sup 2/+9n+3 multiply and divide operation (MDO). The algorithm for obtaining an orthogonal representation of an (m/spl times) Vandermonde matrix X and computing the Cholesky factors F of Hankel matrices requires 5mn+n/sup 2/+2n-3m MDO, and the algorithm for generating the inverse of Hankel matrices requires 3(n/sup 2/+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.
机译:本文介绍了用于(i)多项式拟合(ii)获得Vandermonde矩阵的Q分解和Hankel矩阵的Cholesky因式分解(iii)获得Hankel矩阵的逆的Levinson(1947)型算法。 Hankel方程组的最小二乘解算法需要3n / sup 2 / + 9n + 3乘除运算(MDO)。获取(m / spl次/ n)Vandermonde矩阵X的正交表示并计算Hankel矩阵的Cholesky因子F的算法需要5mn + n / sup 2 / + 2n-3m MDO,并且需要生成逆算法Hankel矩阵的数量需要3(n / sup 2 / + n-2)/ 2 MDO。我们的算法已通过拟合各种阶次的多项式进行了测试,所有子例程的Fortran版本均在附录中提供。

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