Title | ||
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When are discrete channel inputs optimal? — Optimization techniques and some new results |
Abstract | ||
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Discrete channel inputs have been shown to maximize mutual information under various settings. This paper offers a brief review of corresponding optimization methods. Specifically, two techniques are considered; the first is rooted in the theory of linear optimization whereas the second is based on ideas from convex optimization. |
Year | DOI | Venue |
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2018 | 10.1109/CISS.2018.8362306 | 2018 52nd Annual Conference on Information Sciences and Systems (CISS) |
Keywords | Field | DocType |
optimization techniques,discrete channel inputs,mutual information,linear optimization,convex optimization | Convergence (routing),Mathematical optimization,Computer science,Communication channel,Mutual information,Linear programming,Convex optimization | Conference |
ISBN | Citations | PageRank |
978-1-5386-0580-6 | 1 | 0.37 |
References | Authors | |
23 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alex Dytso | 1 | 45 | 20.03 |
Mario Goldenbaum | 2 | 135 | 13.40 |
H. V. Poor | 3 | 25411 | 1951.66 |
Shlomo Shamai | 4 | 4531 | 410.89 |