Demo Data from SIGIR 2026 / reviewers in the wild / expert
D. L. Gray
dblp:134/0655
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1966
—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.
| Computer networks
1 paper |
Wireless sensing and localization · 50% Physical-layer communications · 50% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › modulation
amplitude modulation |
0.0 | 1 | 1966 | Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966 |
Wireless sensing and localization › radar signal processing
radar signal design |
0.0 | 1 | 1966 | Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966 |
Mathematical optimization › control theory
optimal control |
0.0 | 1 | 1966 | Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966 |
Mathematical optimization › control theory › optimal control
pontryagin's maximum principle |
0.0 | 1 | 1966 | Radar signal design subject to simultaneous peak and average power constraints · IEEE Trans. Inf. Theory 1966 |
Methods — techniques the papers use, named apart from their topics
pontryagin's maximum principle · 0.0calculus of variations · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1966 | Radar signal design subject to simultaneous peak and average power constraintsabstractOptimal amplitude modulations for a radar signal are derived and then used to calculate the efficiencies of various sub-optimal modulations. The choice of modulation is constrained by the total energy transmitted and the peak power (amplitude) of the transmitted signal. The peak power constraint is handled by the use of Pontryagin's Maximum Principle, an extension of the calculus of variations recently developed in the U.S.S.R. that is enjoying wide application in optimal control theory. The criterion of optimality is based on the error variances of estimates of the range motion parameters of a reflecting body, where the errors are caused by additive, white, zero mean, Gaussian noise. Explicit results are provided for bodies with constant velocity and bodies with constant acceleration. The analysis covers: 1) incoherent processing of a sequence of many range measurements; 2) coherent processing assuming the RF phase is known, 3) certain aspects of coherent processing assuming the RF phase is unknown. The optimal modulations turn out to be of the "on-off" type, requiring either no transmission or transmission at the maximum allowable power level. Fred C. Schweppe, D. L. Gray |
IEEE Trans. Inf. Theory | 2 |