Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Polar codes allow to perform lossless compression of i.i.d. sources at the lowest rate with low encoding and decoding complexity. In this paper, it is shown that for binary sources, there exist “universal polar codes” which can compress any source of low enough entropy, without requiring knowledge of the source 1 i−1 n→∞ distribution. While this result does not extend to q-ary sources, n|{i:H(Ui|U )>1−δ}| −→ H(p), (2) it is shown how it extends to q-ary sources which belong to a restricted family. An analogy between this family and BECs in channel polarization is discussed. Finally, an application of the universal source polarization results to sparse data recovery is proposed.
Touradj Ebrahimi, Davi Nachtigall Lazzarotto, Bowen Huang
Touradj Ebrahimi, Michela Testolina, Davi Nachtigall Lazzarotto