| Session: | 1.1.6 - Entropy |
| Session Time: | Monday, July 10, 09:40 - 11:00 |
| Paper Time: | Monday, July 10, 10:40 - 11:00 |
| Title: |
On Information Divergence Measures and a Unified Typicality |
| Authors: |
Siu-Wai Ho; The Chinese University of Hong Kong | | |
| | Raymond Wai-Ho Yeung; The Chinese University of Hong Kong | | |
| Abstract: |
Strong typicality, which is more powerful for theorem proving than the weak typicality, can be applied to finite alphabet only, while weak typicality can be applied to both finite and countably infinite alphabets. In this paper, the relation between typicality and information divergence measures is discussed. This leads to the definition of a unified typicality for finite or countably infinite alphabet which is stronger than both weak typicality and strong typicality. |
