Demo Data from EDBT 2026 / reviewers in the wild / expert
Tadaharu Kato
dblp:271/2437
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1982
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 |
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 › modulation › pulse modulation
pulse code modulation |
0.0 | 1 | 1982 | Suboptimal Maximum Likelihood Timing Estimator for a PCM Regenerative Repeater · IEEE Trans. Commun. 1982 |
Physical-layer communications › relaying › relay systems
regenerative repeaters |
0.0 | 1 | 1982 | Suboptimal Maximum Likelihood Timing Estimator for a PCM Regenerative Repeater · IEEE Trans. Commun. 1982 |
Physical-layer communications
synchronization |
0.0 | 1 | 1982 | Suboptimal Maximum Likelihood Timing Estimator for a PCM Regenerative Repeater · IEEE Trans. Commun. 1982 |
Physical-layer communications › synchronization
timing estimation |
0.0 | 1 | 1982 | Suboptimal Maximum Likelihood Timing Estimator for a PCM Regenerative Repeater · IEEE Trans. Commun. 1982 |
Methods — techniques the papers use, named apart from their topics
maximum likelihood estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1982 | Suboptimal Maximum Likelihood Timing Estimator for a PCM Regenerative RepeaterabstractThis paper introduces a modified likelihood function and then provides the suboptimal maximum likelihood (SML) timing estimator which is applicable to PCM regenerative repeaters because of its structural simplicity. Since the SML timing estimator tracks a difference waveform balancing point, as opposed to its conventional maximum likelihood (ML) counterpart, which tracks a derivative waveform zero-crossing point, its performance is rather immune against channel phase distortion. Analyses and experiments are also presented to validate the SML timing estimator for timing extraction from a band-limited PAM signal. Botaro Hirosaki, Tadaharu Kato, Yasuhiro Fujinobu |
IEEE Trans. Commun. | 2 |