Detail publikačního výsledku

Simulation of Fender Type Guitar Preamp using Approximation and State-Space Model

MAČÁK, J.; HOLTERS, M.; SCHIMMEL, J.

Originální název

Simulation of Fender Type Guitar Preamp using Approximation and State-Space Model

Anglický název

Simulation of Fender Type Guitar Preamp using Approximation and State-Space Model

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper deals with usage of approximations for simulation of more complex audio circuits. A Fender type guitar preamp was chosen as a case study. This circuit contains two tubes and thus four nonlinear functions as well as it is a parametric circuit because of an integrated tone stack. A state-space approach was used for simulation and further, precomputed solution is approximated using nonuniform cubic splines.

Anglický abstrakt

This paper deals with usage of approximations for simulation of more complex audio circuits. A Fender type guitar preamp was chosen as a case study. This circuit contains two tubes and thus four nonlinear functions as well as it is a parametric circuit because of an integrated tone stack. A state-space approach was used for simulation and further, precomputed solution is approximated using nonuniform cubic splines.

Klíčová slova

Guitar preamp simulation, real-time, state-space model

Klíčová slova v angličtině

Guitar preamp simulation, real-time, state-space model

Autoři

MAČÁK, J.; HOLTERS, M.; SCHIMMEL, J.

Rok RIV

2013

Vydáno

21.09.2012

Nakladatel

University of York

Místo

York

ISBN

978-0-9573906-0-7

Kniha

Proceedings of the 15th International Conference on Digital Audio Effects DAFx12

Strany od

209

Strany do

216

Strany počet

8

BibTex

@inproceedings{BUT94408,
  author="Jaromír {Mačák} and Martin {Holters} and Jiří {Schimmel}",
  title="Simulation of Fender Type Guitar Preamp using Approximation and State-Space Model",
  booktitle="Proceedings of the 15th International Conference on Digital Audio Effects DAFx12",
  year="2012",
  number="1",
  pages="209--216",
  publisher="University of York",
  address="York",
  isbn="978-0-9573906-0-7"
}