Title : 
Laguerre-domain adaptive filters
         
        
            Author : 
Den Brinker, Albertus C.
         
        
            Author_Institution : 
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
         
        
        
        
        
            fDate : 
4/1/1994 12:00:00 AM
         
        
        
        
            Abstract : 
Using a tapped-delay-line as an adaptive fitter, the complexity of the filter increases with increasing correlation length of input and reference signal. The author seeks simple adaptive filter structures such that for a long correlation length only a minor complexity of the filter is needed. He considers adaptive mechanisms governed by an exponentially weighted squared-error criterion. Laguerre-domain adaptive filters are introduced, which lead to a tapped IIR-filter line. These filters contain a discount factor as a free variable, which makes it possible to set the memory and the number of adaptive coefficients independently. Convergence properties of the proposed adaptive filters are discussed
         
        
            Keywords : 
adaptive filters; computational complexity; convergence; delay lines; digital filters; filtering and prediction theory; stochastic processes; Laguerre-domain adaptive filters; complexity; convergence properties; correlation length; discount factor; exponentially weighted squared-error criterion; memory; tapped IIR-filter line; tapped-delay-line; Adaptive filters; Convergence; Error correction; Estimation error; Least squares approximation; Signal processing algorithms; Stability; Transfer functions; Transversal filters; Vibration control;
         
        
        
            Journal_Title : 
Signal Processing, IEEE Transactions on