EDBT 2026 Demo / reviewers in the wild / expert
Timothy C. Giles
dblp:122/6544
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1992
—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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › error probability analysis
bit error rate estimation |
0.0 | 1 | 1992 | A scheme for high performance real-time BER measurement · IEEE Trans. Commun. 1992 |
Methods — techniques the papers use, named apart from their topics
monte carlo simulation · 0.0maximum likelihood estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | A scheme for high performance real-time BER measurementabstractA statistically based method of bit error rate (BER) which does not necessitate the transmission of test patterns or the interruption of data for measurement purposes is presented. It is demonstrated that the method allows accurate estimation of BER several orders of magnitude faster than the Monte Carlo method. Design of an optimal BER estimator based on the maximum-likelihood principle is proposed. The performance of the technique is demonstrated by simulations for the case of QPSK modulation in AWGN and for a live Rayleigh-fading HF link. The ability of the method to accurately predict BER using relatively few samples means that it is particularly suitable for high-speed BER estimation.> Jason B. Scholz, Stephen C. Cook, Timothy C. Giles |
IEEE Trans. Commun. | 3 |