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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