Name
Abstract | ||
|---|---|---|
In this paper, a new measure of correlation is introduced. This measure depends on a parameter alpha, and is defined in terms of vector-valued L-p norms. The measure is within a constant of the exponential of alpha-Renyi mutual information, and reduces to the trace norm (total variation distance) for alpha = 1. We provide some properties and applications of this measure of correlation. In particular, we establish a bound on the secrecy exponent of the wiretap channel (under the total variation metric) in terms of the alpha-Renyi mutual information according to Csiszar's proposal. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ISIT.2019.8849703 | 2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) |
DocType | Volume | Issue |
Journal | 65 | 12 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Mahdi Mojahedian | 1 | 2 | 2.08 |
| Salman Beigi | 2 | 56 | 11.43 |
| Amin Gohari | 3 | 144 | 21.81 |
| Mohammad Hossein Yassaee | 4 | 13 | 3.10 |
| Mohammad Reza Aref | 5 | 547 | 90.68 |