Demo Data from EDBT 2026 / reviewers in the wild / expert
O. Morean
dblp:80/1711
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing › sampling theory
band-limited signal prediction |
0.0 | 1 | 1986 | Robust prediction of band-limited signals from past samples · IEEE Trans. Inf. Theory 1986 |
Information theory › signal processing › sampling theory
sampling and reconstruction |
0.0 | 1 | 1986 | Robust prediction of band-limited signals from past samples · IEEE Trans. Inf. Theory 1986 |
Information theory › estimation theory
signal estimation |
0.0 | 1 | 1986 | Robust prediction of band-limited signals from past samples · IEEE Trans. Inf. Theory 1986 |
Methods — techniques the papers use, named apart from their topics
nyquist-rate sampling · 0.0geometric convergence analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Robust prediction of band-limited signals from past samplesabstractFor a complex-valued deterministic signal of finite energy band-limited to the normalized frequency band|w| \leq \piexplicit coefficients\{a_{kn}\}are found such that for anyTsatisfying0 < T \leq 1/2,\left| f(t)-\sum^{2n}_{k=1}a_{kn}f(t - kT)\right| \leq E_{f}\cdot \beta^{n}whereE_{f}is the signal energy and\beta \doteq 0.6863. Thus the estimate off(t)in terms of2npast samples taken at a rate equal to or in excess of twice the Nyquist rate converges uniformly at a geometric rate tof(t)on(- \infty , \infty). The suboptimal coefficients\{a_{kn}\}have the desirable property of being pure numbers independent of both the particular band-limited signal and of the selected sampling rate1/T. It is also shown that these same coefficients can be used to estimate the value ofx(t)of a wide-sense stationary random process in terms of past samples. John L. Brown Jr., O. Morean |
IEEE Trans. Inf. Theory | 2 |