Name
Abstract | ||
|---|---|---|
Estimating the integer parameter vector in a linear model with additive Gaussian noise arises from many applications, including communications. The optimal approach is to solve an integer least squares (ILS) problem, which is unfortunately NP-hard. Recently Klein’s randomized algorithm, which finds a sub-optimal solution to the ILS problem, to be referred to as the randomized Babai point, has attracted much attention. This paper presents a formula of the success probability of the randomized Babai point and some interesting properties, and compares it with the deterministic Babai point. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ISIT44484.2020.9174519 | ISIT |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Wen Chang | 1 | 208 | 24.85 |
| Zhilong Chen | 2 | 0 | 0.34 |
| Yingzi Xu | 3 | 0 | 0.34 |