Identification of PARAFAC-Volterra cubic models using an Alternating Recursive Least Squares algorithm

@article{Khouaja2004IdentificationOP,
  title={Identification of PARAFAC-Volterra cubic models using an Alternating Recursive Least Squares algorithm},
  author={A. Khouaja and G{\'e}rard Favier},
  journal={2004 12th European Signal Processing Conference},
  year={2004},
  pages={1903-1906}
}
A broad class of nonlinear systems can be modelled by the Volterra series representation. However, its practical use in nonlinear system identification is sometimes limited due to the large number of parameters associated with the Volterra filters structure. This paper is concerned with the problem of identification of third-order Volterra kernels. A tensorial decomposition called PARAFAC is used to represent such a kernel. A new algorithm called the Alternating Recursive Least Squares (ARLS… CONTINUE READING
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