An extremely fast and accurate fractional order differentiator

@article{Dasgupta2017AnEF,
  title={An extremely fast and accurate fractional order differentiator},
  author={Tanmoy Dasgupta and Madhubanti Maitra},
  journal={2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)},
  year={2017},
  pages={1-4}
}
Unlike their integer order counterparts, fractional order differentiation is a non-local operation and its computation requires evaluating nested loops over the history of the operated functions. This causes the process to be terribly slow when software based implementations are made using interpreted languages like Python, MATLAB®, etc. The present work… CONTINUE READING