Nonlinear homogeneous order separation for Volterra Series Identification

Damien Bouvier 1 Thomas Hélie 1 David Roze 1
1 S3AM - Systèmes et Signaux Sonores : Audio/Acoustique, instruMents
STMS - Sciences et Technologies de la Musique et du Son
Abstract : This article addresses identification of nonlinear systems represented by Volterra series. To improve the robustness of some existing methods, we propose a pre-processing stage that separates nonlinear homogeneous order contributions from which Volterra kernels can be identified independently. The proposed separation method exploits phase relations between test signals rather than amplitude relations that are usually used. This method is compared with standard separation process. Its contribution to identification is illustrated on a simulated loudspeaker with nonlinear suspension.
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Damien Bouvier, Thomas Hélie, David Roze. Nonlinear homogeneous order separation for Volterra Series Identification. 20th International Conference on Digital Audio Effects, Sep 2017, Edinburgh, United Kingdom. ⟨hal-01551390⟩

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