Name
Abstract | ||
|---|---|---|
Relations between estimation and information measures have received considerable attention from the information theory community. One of the most notable such relationships is the I-MMSE identity of Guo, Shamai and Verdu that connects the mutual information and the minimum mean square error (MMSE). This paper reviews several applications of the I-MMSE relationship to information theoretic problems arising in connection with multi-user channel coding. The goal of this paper is to review the different techniques used on such problems, as well as to emphasize the added-value obtained from the information-estimation point of view. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/e19080409 | ENTROPY |
Keywords | Field | DocType |
network information theory,estimation theory,I-MMSE | Channel code,Information theory,Minimum mean square error,Theoretical computer science,Gaussian,Network information theory,Mutual information,Estimation theory,Statistics,Mathematics | Journal |
Volume | Issue | Citations |
19 | 8 | 1 |
PageRank | References | Authors |
0.37 | 46 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Dytso | 1 | 45 | 20.03 |
| Ronit Bustin | 2 | 52 | 8.94 |
| H. V. Poor | 3 | 25411 | 1951.66 |
| Shlomo Shamai | 4 | 4531 | 410.89 |