Name
Title | ||
|---|---|---|
Amplitude Constrained Poisson Noise Channel: Properties of the Capacity-Achieving Input Distribution |
Abstract | ||
|---|---|---|
This work considers a Poisson noise channel with an amplitude constraint. It is well-known that the capacity-achieving input distribution for this channel is discrete with finitely many points. We sharpen this result by introducing upper and lower bounds on the number of mass points. In particular, the upper bound of order A $\log^{2}$(A) and lower bound of order $\sqrt{\mathrm{A}}$ are establishe... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ITW48936.2021.9611398 | 2021 IEEE Information Theory Workshop (ITW) |
Keywords | DocType | ISBN |
Upper bound,Conferences,Kernel,Information theory | Conference | 978-1-6654-0312-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Dytso | 1 | 1 | 2.72 |
| Luca Barletta | 2 | 5 | 1.78 |
| Shlomo Shamai | 3 | 4531 | 410.89 |