A strong data processing inequality for thinning poisson processes and some applications

  • Ligong Wang
  • Published 2017 in
    2017 IEEE International Symposium on Information…

Abstract

This paper derives a simple strong data processing inequality (DPI) for Poisson processes: after a Poisson process is passed through p-thinning — in which every arrival remains in the process with probability p and is erased otherwise, independently of the other points — the mutual information between the Poisson process and any other random… (More)
DOI: 10.1109/ISIT.2017.8007116

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Cite this paper

@article{Wang2017ASD, title={A strong data processing inequality for thinning poisson processes and some applications}, author={Ligong Wang}, journal={2017 IEEE International Symposium on Information Theory (ISIT)}, year={2017}, pages={3180-3184} }