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Ann M. Boehmer

dblp:134/3680 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1967
—ORCID · none

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

Theory of computation · 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.

Theoretical computer science
1 paper
Coding theory · 75% Combinatorics and discrete mathematics · 25%

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

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › q-ary codes
binary codes
0.011967
Binary pulse compression codes · IEEE Trans. Inf. Theory 1967
Combinatorics and discrete mathematics › combinatorial design
difference sets
0.011967
Binary pulse compression codes · IEEE Trans. Inf. Theory 1967
Coding theory › sequences › sequence design › correlation properties
periodic correlation
0.011967
Binary pulse compression codes · IEEE Trans. Inf. Theory 1967
Coding theory › sequences › sequence design
pulse compression codes
0.011967
Binary pulse compression codes · IEEE Trans. Inf. Theory 1967

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

residue class construction · 0.0
YearPublicationVenuePosition
1967 Binary pulse compression codes
abstract
An analytical technique for generating good binary pulse compression codes is developed. The first step in constructing a code of a given lengthNis to divide all the residues moduloNand less thanNinto residue classes. A code digita(i)=\pm 1is assigned to all members,i, of certain of these classes anda(i)=-1toNand all members,i, of the remaining classes. Many of these divisions resulted in difference sets and corresponding binary codes with single-level periodic code correlations. Other divisions resulted in two-level periodic code correlations. In order for a binary pulse compression code to have low autocorrelation sidelobes, its periodic correlation sidelobes must be low. Therefore, codes with low periodic correlations were sought. Good binary codes for lengths just above100digits down to lengths near10digits were found. Several of them are known to be optimum codes. When programmed on an IBM7094, this analytical technique produced codes for lengths near100digits as good as, or better than, any previously known binary pulse compression codes in less than15minutes computer time.
Ann M. Boehmer
IEEE Trans. Inf. Theory1