Barrett

Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Efficient Algorithms for the Construction of Low-Density Parity-Check Codes

Description
Error-correcting codes are fundamental in modern digital communication with applications in data storage and data transmission. Interest in a class of error-correcting codes called low-density parity-check (LDPC) codes has been growing since their recent rediscovery because of their low decoding complexity and their high-performance. However, practical applications have been limited…

Error-correcting codes are fundamental in modern digital communication with applications in data storage and data transmission. Interest in a class of error-correcting codes called low-density parity-check (LDPC) codes has been growing since their recent rediscovery because of their low decoding complexity and their high-performance. However, practical applications have been limited due to the difficulty of finding good LDPC codes for practical parameters. This paper proposes an exhaustive and a randomized algorithm for constructing a family of LDPC codes with practical parameters whose matrix representations meet the following requirements: for each row in the LDPC code matrix there exists exactly one common nonzero element, each row has a minimum weight of one and must be odd, and each column has a weight of at least two. These conditions improve performance of the resulting codes and simplify conversion into codes for quantum systems. Both algorithms utilize a maximal clique algorithm to construct LDPC matrices from graphs whose vertices are possible rows within said matrices and are adjacent the first condition is true. While these algorithms were found to be suitable for small parameters, future work which optimizes the resulting codes for their expected applications could also dramatically increase performance of the algorithms themselves.
ContributorsShurman, Andrew Christian (Author) / Colbourn, Charles (Thesis director) / Bazzi, Rida (Committee member) / Computer Science and Engineering Program (Contributor) / Department of Physics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12