Numerical deconvolution using system identification methods

@article{Vajda1988NumericalDU,
  title={Numerical deconvolution using system identification methods},
  author={Sandor Vajda and Keith R. Godfrey and P. Valk{\'o}},
  journal={Journal of Pharmacokinetics and Biopharmaceutics},
  year={1988},
  volume={16},
  pages={85-107}
}
A deconvolution method is presented for use in pharmacokinetic applications involving continuous models and small samples of discrete observations. The method is based on the continuous-time counterpart of discrete-time least squares system identification, well established in control engineering. The same technique, requiring only the solution of a linear regression problem, is used both in system identification and input identification steps. The deconvolution requires no a prioriinformation… CONTINUE READING
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