@inproceedings{GrimmFreudenberger2016,
  author    = {Grimm, Simon and Freudenberger, J{\"u}rgen},
  title     = {Hybrid Volterra and Hammerstein modelling of nonlinear acoustic systems},
  booktitle = {Fortschritte der Akustik : DAGA 2016, Aachen : 14.-17. M{\"a}rz 2016 : 42. Jahrestagung f{\"u}r Akustik, Tagungsband},
  isbn      = {978-3-939296-10-2},
  url       = {http://pub.dega-akustik.de/DAGA_2016/data/index.html},
  pages     = {1167 -- 1170},
  year      = {2016},
  abstract  = {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.},
  language  = {en}
}