Demo Data from SIGIR 2026 / reviewers in the wild / expert
F. S. Chang
dblp:272/5835
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1976
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 · 60% Internet of things and sensor networks · 20% Wireless sensing and localization · 20% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › tracking
bayesian tracking |
0.0 | 1 | 1976 | Target Tracking Over Fading Channels · IEEE Trans. Commun. 1976 |
Physical-layer communications
channel modeling |
0.0 | 1 | 1976 | Target Tracking Over Fading Channels · IEEE Trans. Commun. 1976 |
Physical-layer communications
fading channels |
0.0 | 1 | 1976 | Target Tracking Over Fading Channels · IEEE Trans. Commun. 1976 |
Physical-layer communications
signal processing for communications |
0.0 | 1 | 1976 | Target Tracking Over Fading Channels · IEEE Trans. Commun. 1976 |
Internet of things and sensor networks › wireless sensor network
target tracking |
0.0 | 1 | 1976 | Target Tracking Over Fading Channels · IEEE Trans. Commun. 1976 |
Methods — techniques the papers use, named apart from their topics
mean-square error analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1976 | Target Tracking Over Fading ChannelsabstractThe problem of tracking a target in a multitarget environment when the observations are received over a fading channel is considered. The optimal Bayes solution to the tracking problem in such cases involves growing memory and hence is not feasible. A particularly effective suboptimal scheme uses a probabilistic judgment at each stage of the observations to overcome this problem. This concise paper presents an evaluation of the scheme in terms of mean-square error performance when the observations are received over fading channels. F. S. Chang, Mandyam D. Srinath |
IEEE Trans. Commun. | 1 |