Strong Data Processing Inequalities for Input Constrained Additive Noise Channels

@article{Calmon2018StrongDP,
  title={Strong Data Processing Inequalities for Input Constrained Additive Noise Channels},
  author={Fl{\'a}vio du Pin Calmon and Yury Polyanskiy and Yihong Wu},
  journal={IEEE Transactions on Information Theory},
  year={2018},
  volume={64},
  pages={1879-1892}
}
This paper quantifies the intuitive observation that adding noise reduces available information by means of nonlinear strong data processing inequalities. Consider the random variables <inline-formula> <tex-math notation="LaTeX">$W\to X\to Y$ </tex-math></inline-formula> forming a Markov chain, where <inline-formula> <tex-math notation="LaTeX">$Y = X + Z… CONTINUE READING