The identification of nonlinear biological systems: Volterra kernel approaches

@article{Korenberg2007TheIO,
  title={The identification of nonlinear biological systems: Volterra kernel approaches},
  author={Michael J. Korenberg and Ian W. Hunter},
  journal={Annals of Biomedical Engineering},
  year={2007},
  volume={24},
  pages={250-268}
}
Representation, identification, and modeling are investigated for nonlinear biomedical systems. We begin by considering the conditions under which a nonlinear system can be represented or accurately approximated by a Volterra series (or functional expansion). Next, we examine system identification through estimating the kernels in a Volterra functional expansion approximation for the system. A recent kernel estimation technique that has proved to be effective in a number of biomedical… Expand
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