Name
Abstract | ||
|---|---|---|
We consider a channel $Y=X+N$ where $X$ is a random variable satisfying $\mathbb{E}[\vert X\vert] < \infty$ and $N$ is an independent standard normal random variable. We show that the minimum mean-square estimator of $X$ from $Y$, which is given by the conditional expectation $\mathbb{E}[X\vert Y]$, is a polynomial in ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISIT45174.2021.9517932 | 2021 IEEE International Symposium on Information Theory (ISIT) |
Keywords | DocType | ISBN |
Random variables,Standards,Information theory | Conference | 978-1-5386-8209-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wael Alghamdi | 1 | 0 | 0.34 |
| Flávio du Pin Calmon | 2 | 0 | 2.03 |