Dr.-Ing. Georg Böcherer from Technische Universitaet Muenchen will present his work on

Informational Divergence and Entropy on Rooted Trees with Probabilities

on Wednesday, October 10th, at 15:00 in our seminar room (IDEG134).

Abstract: Rooted trees with probabilities are used to analyze properties of a variable length code. A bound is derived on the difference between the entropy rates of the code and a memoryless source. The bound is in terms of normalized informational divergence. The bound is used to derive converses for exact random number generation, resolution coding, and distribution matching.

Biography: Georg Böcherer obtained his MSc degree in Electrical Engineering and Information Technology from the ETH Zürich. He spent one semester at the EPF Lausanne and wrote his master thesis at the UFPE in Recife, Brazil. From 2007 to 2012 he worked towards his PhD degree at the Institute of Theoretical Information Technology at RWTH Aachen University. Since April 2012, he is with the Institute for Communications Engineering at Technische Universität München. His research interests are information theory, communications, and coding.