Demo Data from VLDB 2026 / reviewers in the wild / expert
R. Bernstein
dblp:21/558
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1957
—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 › hypothesis testing
signal detection |
0.0 | 1 | 1957 | An analysis of coherent integration and its application to signal detection · IRE Trans. Inf. Theory 1957 |
Information theory › hypothesis testing
false alarm probability |
0.0 | 1 | 1957 | An analysis of coherent integration and its application to signal detection · IRE Trans. Inf. Theory 1957 |
Information theory › signal processing
signal-to-noise ratio |
0.0 | 1 | 1957 | An analysis of coherent integration and its application to signal detection · IRE Trans. Inf. Theory 1957 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1957 | An analysis of coherent integration and its application to signal detectionabstractAn important characteristic of coherent integrators is that their effective bandwidth decreases as the integration time increases. If it is only known that a weak signal occurs somewhere in a given frequency range, then the number of integration channels required to cover the specified range increases as the amount of coherent integration is increased. However, each integration channel can independently cause a false alarm, although only the particular channel in which the signal appears can cause a true alarm. The question arises therefore whether it is profitable to lengthen the coherent integration period to increase the signal-to-noise ratio when doing so requires an increase in the number of integration channels. This problem is investigated analytically. Numerical results appropriate for system design are presented as a series of graphs of missed-signal probability vs number of integration channels, with initial signal-to-noise ratio and over-all false alarm probability as parameters. Also included is a detailed analysis of statistical properties of ideal and approximate ideal coherent integrators. Kenneth S. Miller, R. Bernstein |
IRE Trans. Inf. Theory | 2 |