Demo Data from EDBT 2026 / reviewers in the wild / expert
Mohammad M. Alem-Karladani
dblp:55/8860
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—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 · 67% Computational complexity · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
code construction |
0.1 | 1 | 2010 | Spectral classification and multiplicative partitioning of constant-weight sequences based on circulant matrix representation of optical orthogonal codes · IEEE Trans. Inf. Theory 2010 |
Computational complexity › reduction
computational complexity reduction |
0.1 | 1 | 2010 | Spectral classification and multiplicative partitioning of constant-weight sequences based on circulant matrix representation of optical orthogonal codes · IEEE Trans. Inf. Theory 2010 |
Coding theory › sequences › sequence design
optical orthogonal codes |
0.1 | 1 | 2010 | Spectral classification and multiplicative partitioning of constant-weight sequences based on circulant matrix representation of optical orthogonal codes · IEEE Trans. Inf. Theory 2010 |
Methods — techniques the papers use, named apart from their topics
multiplicative group action · 0.1circulant matrix representation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Spectral classification and multiplicative partitioning of constant-weight sequences based on circulant matrix representation of optical orthogonal codesabstractConsidering the space of constant-weight sequences as the reference set for every optical orthogonal code (OOC) design algorithm, we propose a classification method that preserves the correlation properties of sequences. First, we introduce the circulant matrix representation of optical orthogonal codes and, based on the spectrum of circulant matrices, we define the spectral classification of the set Sn,wof all (0, 1)-sequences with length n, weight w, and the first chip “1”. Then, as a method for spectrally classifying the set Sn,w, we discuss an algebraic structure called multiplicative group action. Using the above multiplicative group action, we define an equivalence relation on Sn,win order to classify it into equivalence classes called multiplicative partitions which are the same as the spectral classes. The algebraic properties of the proposed partitioning such as the number of classes and the size of each class are investigated and in the case of primen, a novel formula for the number of classes is derived. Finally, we present and prove the autocorrelation, intraclass and interclass cross-correlation properties of our proposed classification of the space Sn,wthat decrease the computational complexity of search algorithms in designing and constructing(n, w, λa,λc)-OOC. Mohammad M. Alem-Karladani, Jawad A. Salehi |
IEEE Trans. Inf. Theory | 1 |