Josef Lauri

dblp:79/327 · DBLP profile ↗
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6ranked-venue papers
2as first author
1since 2021 · last 2023
0000-0001-6338-963XORCID · verified

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Theory of computation · 5 · 1 first-author · 1 since 2021Computer networks · 1 · 1 first-author
YearPublicationVenuePosition
2023 The feasibility problem for line graphs
Yair Caro, Josef Lauri, Christina Zarb
Discret. Appl. Math.2
2019 The construction of a smallest unstable asymmetric graph and a family of unstable asymmetric graphs with an arbitrarily high index of instability
Josef Lauri, Russell Mizzi, Raffaele Scapellato
Discret. Appl. Math.1
2019 Preface: The Second Malta Conference in Graph Theory and Combinatorics
Irene Sciriha, Josef Lauri, John Baptist Gauci, Peter Borg
Discret. Appl. Math.2
2015 (2, 2)-colourings and clique-free σ-hypergraphs
Yair Caro, Josef Lauri, Christina Zarb
Discret. Appl. Math.2
2012 Links between two semisymmetric graphs on 112 vertices via association schemes
Mikhail H. Klin, Josef Lauri, Matan Ziv-Av
J. Symb. Comput.2
2011 Coset graphs for low-density parity check codes: performance on the binary erasure channel
abstract
The authors show that a popular way of constructing quasi-cyclic low-density parity check (LDPC) codes is a special case of a construction which is common in graph theory and group theory. It is shown that a generalisation of this construction as coset graphs produces (dv, dc)-regular LDPC codes that have an advantage in terms of the minimum stopping set size compared to quasi-cyclic LDPC codes. A (dv, dc)-regular quasi-cyclic LDPC code cannot have minimum stopping set size larger than (dv+1)!. However, by using coset graphs, a (3, 5)-regular LDPC code with minimum stopping set size of 28 and a (3, 4)-regular LDPC code with minimum stopping set size larger than 32 have been obtained. In addition, the idea of coset graphs also provides a compact algebraic way of describing bipartite graph and the associated parity-check matrix of an LDPC code. Simulation results of iterative decoding of the coset graphs LDPC codes over the binary erasure channel show that some of the codes converge well and based on the truncated stopping set distributions of the codes, which are exhaustively and efficiently enumerated, the error-floor of the codes at low probability of erasure is estimated.
Josef Lauri, Cen Tjhai
IET Commun.1