Title : 
L2-sensitivity analysis and minimization of 2-D separable-denominator state-space digital filters
         
        
            Author : 
Hinamoto, Takao ; Sugie, Yuji
         
        
            Author_Institution : 
Graduate Sch. of Eng., Hiroshima Univ., Japan
         
        
        
        
        
            fDate : 
12/1/2002 12:00:00 AM
         
        
        
        
            Abstract : 
For two-dimensional (2-D) state-space digital filters that are separable in the denominator, the coefficient sensitivity is analyzed by using a pure L2-norm, and then, the problem of minimizing the L2-sensitivity is considered. First, a novel expression is developed in closed form for the evaluation of the L2-sensitivity. Next, an iterative procedure is presented for synthesizing the optimal filter structures that minimize the L2-sensitivity. Finally, a numerical example is given to illustrate the utility of the proposed technique.
         
        
            Keywords : 
fixed point arithmetic; state-space methods; two-dimensional digital filters; 2D digital filters; L2 -norm; L2 sensitivity minimization; L2-sensitivity analysis; closed form expression; coefficient sensitivity; finite-word-length implementation; fixed-point implementation; iterative procedure; optimal filter structures; separable-denominator state-space digital filters; two-dimensional digital filters; Arithmetic; Digital filters; Digital signal processing; Frequency domain analysis; Multidimensional signal processing; Nonlinear filters; Sensitivity analysis; Testing; Transfer functions; Two dimensional displays;
         
        
        
            Journal_Title : 
Signal Processing, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TSP.2002.805238