Title :
Adaptive nonlinear state-space filters
Author :
Gao, X.Y. ; Snelgrove, W.M.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
An adaptive nonlinear state-space filter is introduced for nonlinear systems, especially those with long memories where adaptive nonlinear FIR filters are too expensive to use. Two methods for reduction in computation are developed to further facilitate its application in real-time signal processing. An adaptive linearization scheme for a class for nonlinear systems is presented. The ideas are applied to simulations of a loudspeaker with suspension nonlinearity, allowing both identification and linearization
Keywords :
adaptive filters; digital filters; filtering and prediction theory; real-time systems; signal processing; state-space methods; adaptive linearization scheme; identification; loudspeaker simulation; nonlinear state-space filters; real-time signal processing; suspension nonlinearity; Adaptive filters; Adaptive signal processing; Computational efficiency; Finite impulse response filter; IIR filters; Loudspeakers; Nonlinear filters; Nonlinear systems; Signal processing algorithms; Vectors;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112673
