Moderate-density parity-check codes from projective bundles.
Projective plane
FOS: Computer and information sciences
Projective bundle
Computer Science - Information Theory
bit-flipping decoding algorithm.
02 engineering and technology
0102 computer and information sciences
01 natural sciences
Article
510 Mathematics
2604 Applied Mathematics
Bit-flipping decoding algorithm
1706 Computer Science Applications
0202 electrical engineering, electronic engineering, information engineering
FOS: Mathematics
Mathematics - Combinatorics
11T71, 51E05
2614 Theoretical Computer Science
flipping decoding algorithm
Applied Mathematics
Information Theory (cs.IT)
Computer Science Applications
10123 Institute of Mathematics
2607 Discrete Mathematics and Combinatorics
Bit-flipping decoding algorithm; MDPC codes; Projective bundle; Projective plane
MDPC codes
Combinatorics (math.CO)
MDPC codes · Projective bundle · Projective plane · Bit
DOI:
10.5167/uzh-219471
Publication Date:
2022-05-24
AUTHORS (4)
ABSTRACT
AbstractNew constructions for moderate-density parity-check (MDPC) codes using finite geometry are proposed. We design a parity-check matrix for the main family of binary codes as the concatenation of two matrices: the incidence matrix between points and lines of the Desarguesian projective plane and the incidence matrix between points and ovals of a projective bundle. A projective bundle is a special collection of ovals which pairwise meet in a unique point. We determine the minimum distance and the dimension of these codes, and we show that they have a natural quasi-cyclic structure. We consider alternative constructions based on an incidence matrix of a Desarguesian projective plane and compare their error-correction performance with regards to a modification of Gallager’s bit-flipping decoding algorithm. In this setting, our codes have the best possible error-correction performance after one round of bit-flipping decoding given the parameters of the code’s parity-check matrix.
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