Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Helen Lampow-Maundy

dblp:96/10712 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2000
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › synchronization
frame synchronization
0.012000
Frame synchronization in guided scrambling line codes · IEEE Trans. Commun. 2000
Physical-layer communications › modulation
line coding
0.012000
Frame synchronization in guided scrambling line codes · IEEE Trans. Commun. 2000
Physical-layer communications
synchronization
0.012000
Frame synchronization in guided scrambling line codes · IEEE Trans. Commun. 2000

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

transition detection · 0.0self-framing algorithm · 0.0
YearPublicationVenuePosition
2000 Frame synchronization in guided scrambling line codes
abstract
Guided scrambling (GS) ensures the existence of good line code properties in encoded bit sequences through appropriate augmentation of the source bit stream prior to self-synchronizing scrambling. At the receiver, a framing algorithm is required in order to identify the location of the augmenting bits in the unscrambled bit sequence. This paper proposes and analyzes a self-framing algorithm for achieving frame synchronization in GS line codes. This technique is based on the observation of a large number of transitions at codeword boundaries in the encoded sequence, and does not require any additional overhead. Analysis and simulation results confirm the viability of this technique.
Helen Lampow-Maundy, Ivan J. Fair
IEEE Trans. Commun.1