Identification of Svd-parafac Based Third-order Volterra Models Using an Arls Algorithm

@inproceedings{Favier2005IdentificationOS,
  title={Identification of Svd-parafac Based Third-order Volterra Models Using an Arls Algorithm},
  author={G{\'e}rard Favier},
  year={2005}
}
A broad class of nonlinear systems can be modeled by the Volterra series representation. However, the practical use of such a representation is often limited due to the large number of parameters associated with the Volterra filter structure. This paper is concerned with the problem of identification of third-order Volterra systems. The SVD technique is used to represent the quadratic Volterra kernel and a tensorial decomposition called PARAFAC is used to represent the cubic one. These… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 11 references

A growing approach for selecting generalized orthonormal basis functions in the context of system modeling

  • A. Kibangou, G. Favier, M. M. Hassani
  • Proc. IEEE-EURASIP Workshop on Nonlinear Signal…
  • 2003
1 Excerpt

Nonlinear systems modelling by means of generalized orthonormal basis functions

  • G. Favier, A. Kibangou, R.J.G.B. Campello
  • Invited paper, IEEE Conference on Signals,
  • 2003
3 Excerpts

Frequency independent and frequency dependent nonlinear models of twt amplifiers

  • A.A.M. Saleh
  • IEEE Tr. on Communications
  • 1998
2 Excerpts

Nonlinear adaptive control via Laguerre expansion of Volterra kernels

  • G. A. Dumont, Y. Fu
  • Int. J. Adaptive Control and Signal Processing
  • 1993
2 Excerpts

Three - way arrays : Rank and uniqueness of trilinear decompositions , with application to arithmetic complexity and statistics

  • T. M. Panicker, V. J. Mathews
  • Linear algebra and its applications
  • 1977

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