Chapter 4

Recent Advances on LIP Nonlinear Filters and Their Applications

Efficient Solutions and Significance-Aware Filtering

Christian Hofmann; Walter Kellermann    Friedrich-Alexander-Universität Erlangen-Nürnberg, Lehrstuhl für Multimediakommunikation und Signalverarbeitung, Erlangen, Germany

Abstract

Linear-In-the-Parameters (LIP) nonlinear filters are categorized as Cascade Models (CMs) (generalizing Hammerstein models), Cascade Group Models (CGMs) (generalizing Hammerstein Group models (HGMs) and including, e.g., Volterra filters) and bilinear cascade models, where the filter output is a bilinear function of the model parameters. Time-domain and partitioned-block frequency-domain adaptation of CGMs and CMs is described and ...

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