Demo Data from SIGIR 2026 / reviewers in the wild / expert
H. W. Lorber
dblp:134/8193
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1973
—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.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
signal strength estimation |
0.0 | 1 | 1973 | The SQUOD: A versatile and accurate scheme for measuring signal strengths · IEEE Trans. Inf. Theory 1973 |
Methods — techniques the papers use, named apart from their topics
quantile analysis · 0.0order statistics · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1973 | The SQUOD: A versatile and accurate scheme for measuring signal strengthsabstractThe SQUOD (selected quantile output device) is a simple scheme using rank-order statistics for estimating received signal strength, even following detection in a nonlinear (e.g., logarithmic) receiver. Numerical results are presented that show that for any number of steady sinusoids having incommensurable frequencies or randomly distributed mutually independent phases plus additive Gaussian noise, the populationp-quantile of the envelope can be used for estimating the rms value of the envelope with a maximum error of 0.797 dB for p = 0.5650. Analysis and numerical examples show the effects of using a finite-samplep-quantile. H. W. Lorber, J. D. Burns |
IEEE Trans. Inf. Theory | 1 |