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Mitchell D. Eggers

dblp:270/3476 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1983
—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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation › line coding
duobinary signaling
0.011983
Optimal Symbol-by-Symbol Detection for Duobinary Signaling · IEEE Trans. Commun. 1983
Physical-layer communications
modulation
0.011983
Optimal Symbol-by-Symbol Detection for Duobinary Signaling · IEEE Trans. Commun. 1983
Physical-layer communications › signal detection › symbol detection
symbol-by-symbol detection
0.011983
Optimal Symbol-by-Symbol Detection for Duobinary Signaling · IEEE Trans. Commun. 1983
Physical-layer communications › modulation › line coding
partial response signaling
0.011983
Optimal Symbol-by-Symbol Detection for Duobinary Signaling · IEEE Trans. Commun. 1983

Methods — techniques the papers use, named apart from their topics

analytical derivation · 0.0
YearPublicationVenuePosition
1983 Optimal Symbol-by-Symbol Detection for Duobinary Signaling
abstract
An optimal symbol-by-symbol detection scheme for duobinary signaling (Class I PRS) which exploits the inherent correlation properties of partial response signaling (PRS) is postulated. Analytical results indicate a maximum improvement of approximately 0.7 dB over conventional split shaping duobinary detection at a 10-4error rate. Although duobinary signaling is emphasized, sufficient generality within the formulation is maintained to accommodate any class of PRS.
Mitchell D. Eggers, John H. Painter
IEEE Trans. Commun.1