EDBT 2026 Demo / reviewers in the wild / expert
B. Rippin
dblp:88/5821
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none
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% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing
signal design |
0.0 | 1 | 1995 | Min-max signal design for detection subject to linear distortion · IEEE Trans. Inf. Theory 1995 |
Information theory › hypothesis testing
signal detection |
0.0 | 1 | 1995 | Min-max signal design for detection subject to linear distortion · IEEE Trans. Inf. Theory 1995 |
Methods — techniques the papers use, named apart from their topics
generalized likelihood ratio test · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Min-max signal design for detection subject to linear distortionabstractConsiders the problem of deciding between M signals that are observed through an unknown FIR system (channel). The authors suggest a generalized likelihood ratio test, and develop an upper bound on the detection performance under the worst possible channel. They then suggest a signal design strategy that is immune to the unknown channel effect in which they construct the transmitted signals using an autoregressive mechanism. The signals in this class are distinguished only by the location of their poles. The authors show that in some cases these signal designs achieve the bound.> B. Rippin, Ehud Rippin |
IEEE Trans. Inf. Theory | 1 |