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F. Kadlec, P. Lotton, A. Novak, and L. Simon, "A New Method for Identification of Nonlinear Systems Using MISO Model with Swept-Sine Technique: Application to Loudspeaker Analysis," Paper 7441, (2008 May.). doi: F. Kadlec, P. Lotton, A. Novak, and L. Simon, "A New Method for Identification of Nonlinear Systems Using MISO Model with Swept-Sine Technique: Application to Loudspeaker Analysis," Paper 7441, (2008 May.). doi:
Abstract: This work presents a Multiple Input Single Output (MISO) nonlinear model in combination with sine-sweep signals as a method for nonlinear system identification. The method is used for identification of loudspeaker nonlinearities and can be applied to nonlinearities of any audio components. It extends the method based on nonlinear convolution presented by Farina, providing a nonlinear model that allows to simulate the identified nonlinear system. The MISO model consists of a parallel combination of nonlinear branches containing linear filters and memory-less power-law distortion functions. Once the harmonic distortion components are identified by the method of Farina, the linear filters of the MISO model can be derived. The practical application of the method is demonstrated on a loudspeaker.

@article{kadlec2008a,
author={kadlec, frantisek and lotton, pierrick and novak, antonin and simon, laurent},
journal={journal of the audio engineering society},
title={a new method for identification of nonlinear systems using miso model with swept-sine technique: application to loudspeaker analysis},
year={2008},
volume={},
number={},
pages={},
doi={},
month={may},} @article{kadlec2008a,
author={kadlec, frantisek and lotton, pierrick and novak, antonin and simon, laurent},
journal={journal of the audio engineering society},
title={a new method for identification of nonlinear systems using miso model with swept-sine technique: application to loudspeaker analysis},
year={2008},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this work presents a multiple input single output (miso) nonlinear model in combination with sine-sweep signals as a method for nonlinear system identification. the method is used for identification of loudspeaker nonlinearities and can be applied to nonlinearities of any audio components. it extends the method based on nonlinear convolution presented by farina, providing a nonlinear model that allows to simulate the identified nonlinear system. the miso model consists of a parallel combination of nonlinear branches containing linear filters and memory-less power-law distortion functions. once the harmonic distortion components are identified by the method of farina, the linear filters of the miso model can be derived. the practical application of the method is demonstrated on a loudspeaker.},}

TY - paper
TI - A New Method for Identification of Nonlinear Systems Using MISO Model with Swept-Sine Technique: Application to Loudspeaker Analysis
SP - EP -
AU - Kadlec, Frantisek
AU - Lotton, Pierrick
AU - Novak, Antonin
AU - Simon, Laurent
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2008 TY - paper
TI - A New Method for Identification of Nonlinear Systems Using MISO Model with Swept-Sine Technique: Application to Loudspeaker Analysis
SP - EP -
AU - Kadlec, Frantisek
AU - Lotton, Pierrick
AU - Novak, Antonin
AU - Simon, Laurent
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2008
AB - This work presents a Multiple Input Single Output (MISO) nonlinear model in combination with sine-sweep signals as a method for nonlinear system identification. The method is used for identification of loudspeaker nonlinearities and can be applied to nonlinearities of any audio components. It extends the method based on nonlinear convolution presented by Farina, providing a nonlinear model that allows to simulate the identified nonlinear system. The MISO model consists of a parallel combination of nonlinear branches containing linear filters and memory-less power-law distortion functions. Once the harmonic distortion components are identified by the method of Farina, the linear filters of the MISO model can be derived. The practical application of the method is demonstrated on a loudspeaker.