Adaptive nonlinear state-space filters
- 4 December 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 3122-3125
- https://doi.org/10.1109/iscas.1990.112673
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.Keywords
This publication has 7 references indexed in Scilit:
- Nonlinear IIR adaptive filtering using a bilinear structurePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- State-space adaptive recursive filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Adaptive recursive state-space filters using a gradient-based algorithmIEEE Transactions on Circuits and Systems, 1990
- A second-order adaptive Volterra filter with rapid convergenceIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- Adaptive nonlinear digital filters using distributed arithmeticIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- Adaptive filters suitable for real-time spectral analysisIEEE Transactions on Circuits and Systems, 1986
- Second-order Volterra filtering and its application to nonlinear system identificationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985