Improved extrapolation techniques in recursive digital filtering: a comparison of least squares and prediction.

@article{Giakas1998ImprovedET,
  title={Improved extrapolation techniques in recursive digital filtering: a comparison of least squares and prediction.},
  author={Giannis Giakas and Vasilios Baltzopoulos and Roger Michael Bartlett},
  journal={Journal of biomechanics},
  year={1998},
  volume={31 1},
  pages={87-91}
}
Two extrapolation techniques for recursive digital filtering are presented and compared with common padding methods such as linear and reflection (reverse mirror) extrapolation. The case in which the endpoints of position data lead to peak accelerations after filtering and differentiation is examined. The first technique, 'least squares', is based on fitting a third-degree polynomial to the final 10 data points in both the forward and backward directions and extending the signal by 20 data… CONTINUE READING