Title :
Fast recursive adaptation for nonlinear filters
Author :
Rauf, Fawad ; Ahmed, Hassan M.
Author_Institution :
ECS Dept., Boston Univ., MA, USA
Abstract :
A new recursive procedure is presented for developing fast algorithms for nonlinear adaptive filters. Fast recursive adaptation is achieved at a computational cost comparable to simple stochastic gradient algorithms. Successive linearization is shown to be an adequate approximation procedure for developing a general class of nonlinear adaptive filters
Keywords :
adaptive filters; nonlinear filters; recursive filters; adaptive filters; approximation procedure; computational cost; nonlinear filters; recursive adaptation; stochastic gradient algorithms; successive linearization; Adaptive filters; Electronic mail; Equations; Laboratories; Nonlinear filters; Nonlinear systems; Polynomials; Signal processing algorithms; Stochastic processes; Vectors;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.394305
