Adaptive nonlinear state-space filters

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 Author(s) Gao, X.Y. Dept. of Electr. Eng., Toronto Univ., Ont., Canada Snelgrove, W.M.

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