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Proceedings Paper

Nonlinear dynamic macromodeling techniques for audio systems
Author(s): Jan Ogrodzki; Piotr Bieńkowski
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Paper Abstract

This paper develops a modelling method and a models identification technique for the nonlinear dynamic audio systems. Identification is performed by means of a behavioral approach based on a polynomial approximation. This approach makes use of Discrete Fourier Transform and Harmonic Balance Method. A model of an audio system is first created and identified and then it is simulated in real time using an algorithm of low computational complexity. The algorithm consists in real time emulation of the system response rather than in simulation of the system itself. The proposed software is written in Python language using object oriented programming techniques. The code is optimized for a multithreads environment.

Paper Details

Date Published: 11 September 2015
PDF: 8 pages
Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96622A (11 September 2015); doi: 10.1117/12.2205771
Show Author Affiliations
Jan Ogrodzki, Warsaw Univ. of Technology (Poland)
Piotr Bieńkowski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 9662:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015
Ryszard S. Romaniuk, Editor(s)

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