A fast algorithm for solving the Sylvester structured total least squares problem

  • Authors:
  • Bingyu Li;Zhuojun Liu;Lihong Zhi

  • Affiliations:
  • School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China;Key Laboratory of Mathematics Mechanization, Academy of Mathematics and Systems Science, Beijing 100080, China;Key Laboratory of Mathematics Mechanization, Academy of Mathematics and Systems Science, Beijing 100080, China

  • Venue:
  • Signal Processing
  • Year:
  • 2007

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Abstract

In this paper, we develop a fast structured total least squares (STLS) algorithm for computing an approximate greatest common divisor (GCD) of two univariate polynomials. By exploiting the displacement structure of the Sylvester matrix and applying the generalized Schur algorithm, each single iteration of the proposed algorithm has quadratic computational complexity in the degrees of the given polynomials.