Demo Data from VLDB 2026 / reviewers in the wild / expert
Yurij Kozachenko
dblp:77/845 · also Yuriy Kozachenko, Yury Kozachenko
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0001-6996-8368ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author
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% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing › sampling theory
sampling theorem |
0.2 | 1 | 2016 | Aliasing-Truncation Errors in Sampling Approximations of Sub-Gaussian Signals · IEEE Trans. Inf. Theory 2016 |
Methods — techniques the papers use, named apart from their topics
truncation error bound · 0.5convergence rate analysis · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Aliasing-Truncation Errors in Sampling Approximations of Sub-Gaussian SignalsabstractThis paper starts with new aliasing-truncation error upper bounds in the sampling theorem for non-bandlimited stochastic signals. Then, it investigates Lp([0, T]) approximations of the sub-Gaussian random signals. Explicit truncation error upper bounds are established. The obtained rate of convergence provides a constructive algorithm for determining the sampling rate and the sample size in the truncated Whittaker-Kotel'nikovShannon expansions to ensure the approximation of the subGaussian signals with given accuracy and reliability. Some numerical examples are presented. Yurij Kozachenko, Andriy Olenko |
IEEE Trans. Inf. Theory | 1 |