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Hybrid Volterra and Hammerstein modelling of nonlinear acoustic systems

  • This paper studies suitable models for the identification of nonlinear acoustic systems. A cascaded structure of nonlinear filters is proposed that contains several parallel branches, consisting of polynomial functions followed by a linear filter for each order of nonlinearity. The second order of nonlinearity is additionally modelled with a parallel branch, containing a Volterra filter. These are followed by a long linear FIR filter that is able to model the room acoustics. The model is applied to the identification of a tube power amplifier feeding a guitar loudspeaker cabinet in an acoustic room. The adaptive identification is performed by the normalized least mean square (NLMS) algorithm. Compared with a generalized polynomial Hammerstein (GPH) model, the accuracy in modelling the dedicated real world system can be improved to a greater extend than increasing the order of nonlinearity in the GPH model.

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Metadaten
Author:Simon GrimmGND, Jürgen FreudenbergerORCiDGND
URL:http://pub.dega-akustik.de/DAGA_2016/data/index.html
ISBN:978-3-939296-10-2
Parent Title (English):Fortschritte der Akustik : DAGA 2016, Aachen : 14.-17. März 2016 : 42. Jahrestagung für Akustik, Tagungsband
Publisher:Dt. Gesellschaft für Akustik e.V.
Place of publication:Berlin
Document Type:Conference Proceeding
Language:English
Year of Publication:2016
Release Date:2018/11/21
First Page:1167
Last Page:1170
Open Access?:Ja
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)