Title : 
Zakai equation of non-linear filtering with dependent noises and unbounded observation coefficients
         
        
            Author : 
Florchinger, Patrick
         
        
            Author_Institution : 
Dept. de Math., Metz Univ., France
         
        
        
        
        
            Abstract : 
The author gives an existence and uniqueness result to the solution of the Zakai equation associated with a nonlinear filtering problem with dependent noises and a scalar observation process whose coefficients are unbounded. It is proved that a specified unnormalized filter solves a Zakai equation, and results of P. Cannarsa and V. Vespri (1985) are used to state a uniqueness result to the solution of that equation in convenient Holder spaces
         
        
            Keywords : 
filtering and prediction theory; noise; signal processing; Holder spaces; Zakai equation; dependent noises; nonlinear filtering; signal processing; unbounded observation coefficients; unnormalized filter; Differential equations; Filtering; Filters; Nonlinear equations; Random variables; Stochastic processes; Stochastic resonance; Vectors;
         
        
        
        
            Conference_Titel : 
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
         
        
            Conference_Location : 
Brighton
         
        
            Print_ISBN : 
0-7803-0450-0
         
        
        
            DOI : 
10.1109/CDC.1991.261858