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Toeplitz Matrix Approximation Suliman Al-Homidan
 

Summary: 1
Toeplitz Matrix Approximation
Suliman Al-Homidan
Department of Mathematical Sciences, King Fahd University of Petroleum and
Minerals, Dhahran 31261, PO Box 119, Saudi Arabia E-mail:
homidan@kfupm.edu.sa
Abstract
This paper deals with numerical Toeplitz matrix approximation. Our ap-
proach is based on (i) a projection algorithm which converges globally but
slowly; and (ii) the quasi-Newton method which is faster. Hybrid methods that
attempt to combine the best features of both methods are then considered.
Key words : Alternating projections, least distance functions, non-smooth optimiza-
tion, positive semi-definite matrix, Toeplitz matrix, quasi-Newton method.
1 Introduction
The problem we are interested in, is the best approximation of a given matrix by a
positive semi-definite symmetric Toeplitz matrix. Toeplitz matrices appear naturally
in a variety of problems in engineering. Since positive semi-definite Toeplitz matrices
can be viewed as shift-invariant autocorrelation matrices, considerable attention has
been paid to them, especially in the areas of stochastic filtering and digital signal
processing applications [12] and [21]. Several problems in digital signal processing

  

Source: Al-Homidan, Suliman - Department of Mathematics and Statistics, King Fahd University of Petroleum and Minerals

 

Collections: Mathematics