DocumentCode :
1805480
Title :
The geometry of positive real functions with applications to the rational covariance extension problem
Author :
Byrnes, Christopher I. ; Lindquist, Anders ; Gusev, Sergei V. ; Matveev, Alexei S.
Author_Institution :
Washington Univ., St. Louis, MO, USA
Volume :
4
fYear :
1994
fDate :
14-16 Dec 1994
Firstpage :
3883
Abstract :
In this paper we provide a characterization of all positive rational extensions of a given partial covariance sequence. Indeed, motivated by its application to signal processing, speech processing and stochastic realization theory, this characterization is in terms of a complete bianalytic parameterization using familiar objects from systems theory. In particular, this proves a long-standing conjecture by Georgiou. The methodology is based on global analysis of the dynamics of certain fast algorithms for Kalman filtering
Keywords :
computational geometry; covariance analysis; filtering theory; identification; signal processing; stochastic processes; system theory; transfer functions; Kalman filtering; identification; partial covariance sequence; positive rational extensions; positive real functions; signal processing; speech processing; stochastic process; stochastic realization theory; systems theory; Algorithm design and analysis; Filtering algorithms; Geometry; Interpolation; Kalman filters; Polynomials; Signal processing algorithms; Speech processing; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
Type :
conf
DOI :
10.1109/CDC.1994.411772
Filename :
411772
Link To Document :
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