Demo Data from EDBT 2026 / reviewers in the wild / expert
Steven Conolly
dblp:327/1899
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › signal processing for communications
adaptive filtering |
0.0 | 1 | 1986 | State-space analysis of the adaptive notch filter · Proc. IEEE 1986 |
Physical-layer communications › signal processing for communications › adaptive filtering
adaptive notch filter |
0.0 | 1 | 1986 | State-space analysis of the adaptive notch filter · Proc. IEEE 1986 |
Physical-layer communications
interference cancellation |
0.0 | 1 | 1986 | State-space analysis of the adaptive notch filter · Proc. IEEE 1986 |
Physical-layer communications
equalization |
0.0 | 1 | 1986 | State-space analysis of the adaptive notch filter · Proc. IEEE 1986 |
Methods — techniques the papers use, named apart from their topics
state-space analysis · 0.0LMS algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | State-space analysis of the adaptive notch filterabstractThe adaptive notch filter has a variety of applications in the field of communications including 60-Hz noise cancellation, phase-locked loops, frequency-hop filtering, and channel equalization. We present a simple derivation of the time-invariant state equations for the adaptive notch filter. Unlike previous work, this analysis provides a closed-form solution for the LMS weight vector as a rotated and filtered product of the desired response. This analysis also lends a simple explanation of non-Wiener type adaptive behavior. Steven Conolly, Young-Lim Su |
Proc. IEEE | 1 |