Demo Data from EDBT 2026 / reviewers in the wild / expert
M. D. Knowles
dblp:165/0597
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—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 · 100% |
Topics — the 2 heaviest of 2, 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 | 1988 | Bit error rate estimation for channels with memory · IEEE Trans. Commun. 1988 |
Physical-layer communications
channel modeling |
0.0 | 1 | 1988 | Bit error rate estimation for channels with memory · IEEE Trans. Commun. 1988 |
Methods — techniques the papers use, named apart from their topics
confidence level · 0.0confidence intervals · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Bit error rate estimation for channels with memoryabstractA method for deriving key parameters of a bit-error-rate (BER) estimate is presented. The method is based on a bursty channel model proposed by B.D. Fritchman (IEEE Trans. Inform. Theory, Vol. IT-13, pp.221-227, Apr. 1967). This model is used to derive the confidence levels and confidence intervals of an error-rate estimate. The theoretical results have been confirmed experimentally by using the data from a helical-scan digital magnetic-tape recorder. The experiments clearly demonstrate the inadequacy of the BER estimates based on an independent-error approach.> M. D. Knowles |
IEEE Trans. Commun. | 1 |