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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/CDC.1994.411772