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Paul J. G. Lothian

dblp:46/228 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-authorTheory of computation · 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.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › sequences › sequence design › low-correlation sequence
GMW sequences
0.011998
Bounds on Partial Correlations of Sequences · IEEE Trans. Inf. Theory 1998
Coding theory › sequences › sequence design › low-correlation sequence
kasami sequences
0.011998
Bounds on Partial Correlations of Sequences · IEEE Trans. Inf. Theory 1998
Coding theory › sequences › pseudorandom sequences
m-sequences
0.011998
Bounds on Partial Correlations of Sequences · IEEE Trans. Inf. Theory 1998
Coding theory › sequences
sequence design
0.011998
Bounds on Partial Correlations of Sequences · IEEE Trans. Inf. Theory 1998

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

discrete fourier transform · 0.0character sum bounds · 0.0
YearPublicationVenuePosition
2001 Database Security in a Web Environment
Paul J. G. Lothian, Peter Wenham
Inf. Secur. Tech. Rep.1
1998 Bounds on Partial Correlations of Sequences
abstract
Two approaches to bounding the partial auto- and crosscorrelations of binary sequences are considered. The first approach uses the discrete Fourier transform and bounds for character sums to obtain bounds on partial autocorrelations of m-sequences and on the partial auto- and crosscorrelations for the small Kasami sets and dual-BCH families of sequences. The second approach applies to binary sequences obtained by interleaving m-sequences. A bound on the peak partial correlation of such sequences is derived in terms of the peak partial autocorrelation of the underlying m-sequences. The bound is applied to GMW, No (1987), and other families of sequences for particular parameters. A comparison of the two approaches shows that the elementary method gives generally weaker results but is more widely applicable. On the other hand, both methods show that well-known sequence families can have favorable partial correlation characteristics, making them useful in certain spread-spectrum applications.
Kenneth G. Paterson, Paul J. G. Lothian
IEEE Trans. Inf. Theory2