Algorithms and architectures for nonlinear prediction and filtering

Summary form only given. The author uses a particular example to consider the relationship between adaptive filtering, nonlinear dynamics and neural networks. The example is an application of recent developments in nonlinear dynamical systems theory to signal processing based on the radial basis function least squares processor.<
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