Ten lectures on wavelets
A bibliography on nonlinear system identification
Signal Processing - Special section on digital signal processing for multimedia communications and services
Identification of Nonlinear Physiological Systems
Identification of Nonlinear Physiological Systems
Generalized Kernel Regression Estimate for the Identification of Hammerstein Systems
International Journal of Applied Mathematics and Computer Science
IEEE Transactions on Signal Processing
Identification of certain time-varying nonlinear Wiener andHammerstein systems
IEEE Transactions on Signal Processing
Data compression and harmonic analysis
IEEE Transactions on Information Theory
Generalized regression neural networks in time-varying environment
IEEE Transactions on Neural Networks
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A new algorithm for nonparametric wavelet estimation of Hammerstein system nonlinearity is proposed. The algorithm works in the on-line regime (viz., past measurements are not available) and offers a convenient uniform routine for nonlinearity estimation at an arbitrary point and at any moment of the identification process. The pointwise convergence of the estimate to locally bounded nonlinearities and the rate of this convergence are both established.