Nonlinear Adaptive System Identification Based on Wiener Models (Part 3)
In this third part of the book focused on nonlinear adaptive system identification algorithms based on the Wiener model, we discuss some algorithms which are suitable for situations where the environment leads to a non-white, possibly non-Gaussian input signal. We also discuss using other stochasticgradient- based algorithms like the least-mean-fourth (LMF) algorithm for the Wiener model.
KeywordsWiener Filter Volterra Series Volterra Model Volterra System Autocorrelation Matrix
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