Name
Abstract | ||
|---|---|---|
The harmonizable Piranashvili-type stochastic processes are approximated by finite time shifted average sampling sums. Explicit truncation error upper bounds are established. Various corollaries and special cases are discussed. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1080/03610926.2011.581180 | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS |
Keywords | Field | DocType |
Average sampling reconstruction,Harmonizable stochastic process,Local averages,Sampling theorem,Time shifted sampling | Truncation error,Stochastic process,Sampling (statistics),Nyquist–Shannon sampling theorem,Statistics,Mathematics,Finite time | Journal |
Volume | Issue | ISSN |
40 | SP19-20 | 0361-0926 |
Citations | PageRank | References |
3 | 0.50 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andriy Olenko | 1 | 9 | 3.19 |
| Tibor Pogány | 2 | 32 | 13.73 |