DocumentCode :
3123226
Title :
A New Approach to Spectral Factorization of a Class of Matrix-Valued Spectral Densities
Author :
Nurdin, Hendra I.
Author_Institution :
Department of Information Engineering, Research School of Information Sciences and Engineering (Building 115), Australian National University, Canberra ACT 0200, Australia. E-mail: Hendra.Nurdin@anu.edu.au
fYear :
2005
fDate :
12-15 Dec. 2005
Firstpage :
5929
Lastpage :
5934
Abstract :
In this paper we propose a new approach to spectral factorization of a class of matrix-valued spectral densities. Our results are based on a recent necessary and sufficient uniform log-integrability condition for the canonical spectral factorization mapping to be sequentially continuous. In particular, we derive a new set of easily verifiable sufficient conditions for uniform log-integrability to hold. The proposed approach does not require the spectral density to be coercive, and the class to which it is applicable is reasonably large as to include many spectral densities which are of interest in applications. We also present a new spectral factorization algorithm for scalar analytic spectral densities along with a numerical example.
Keywords :
Spectral factorization; rational approximation; rational covariance extension; second order stochastic processes; Algorithm design and analysis; Australia Council; Filtering theory; Nonlinear filters; Power system modeling; Spectral analysis; Stochastic processes; Sufficient conditions; Time invariant systems; White noise; Spectral factorization; rational approximation; rational covariance extension; second order stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
Type :
conf
DOI :
10.1109/CDC.2005.1583110
Filename :
1583110
Link To Document :
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