Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hsi Chong Ho
dblp:165/0636
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1988
—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 › synchronization › carrier recovery
carrier phase estimation |
0.0 | 1 | 1988 | Viterbi detection with simultaneous suboptimal maximum likelihood carrier phase estimation · IEEE Trans. Commun. 1988 |
Physical-layer communications
channel coding |
0.0 | 1 | 1988 | Viterbi detection with simultaneous suboptimal maximum likelihood carrier phase estimation · IEEE Trans. Commun. 1988 |
Physical-layer communications › channel estimation
maximum likelihood estimation |
0.0 | 1 | 1988 | Viterbi detection with simultaneous suboptimal maximum likelihood carrier phase estimation · IEEE Trans. Commun. 1988 |
Physical-layer communications › signal detection › sequence estimation
viterbi detection |
0.0 | 1 | 1988 | Viterbi detection with simultaneous suboptimal maximum likelihood carrier phase estimation · IEEE Trans. Commun. 1988 |
Methods — techniques the papers use, named apart from their topics
viterbi algorithm · 0.0convolutional coding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Viterbi detection with simultaneous suboptimal maximum likelihood carrier phase estimationabstractThe authors consider maximum-likelihood (ML) detection of convolutionally coded data over the AWGN channel with unknown carrier phase. A receiver is developed for simultaneous ML data decoding and suboptimal ML carrier-phase estimation. The receiver is readily implementable and, for a circular signal constellation, it is totally linear. Computer simulations using two different models of the time-varying carrier phase indicate that the receiver provides good bit error probability performance.> Pooi Yuen Kam, Hsi Chong Ho |
IEEE Trans. Commun. | 2 |