Linear block and convolutional MDS codes to required rate, distance and type

Linear block and convolutional MDS codes to required rate, distance and type

In: Arai, K. (eds) Intelligent Computing. SAI 2022, pp 129-157, Lecture Notes in Networks and Systems, vol 507. Springer, pp 129-157 (2022) Algebraic methods for the design of series of maximum distance separable (MDS) linear block and convolutional codes to required specifications and types are pre...

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1. Verfasser: Hurley, Ted
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Information Theory
Mathematics - Information Theory
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Zusammenfassung:In: Arai, K. (eds) Intelligent Computing. SAI 2022, pp 129-157, Lecture Notes in Networks and Systems, vol 507. Springer, pp 129-157 (2022) Algebraic methods for the design of series of maximum distance separable (MDS) linear block and convolutional codes to required specifications and types are presented. Algorithms are given to design codes to required rate and required error-correcting capability and required types. Infinite series of block codes with rate approaching a given rational $R$ with $0
DOI:10.48550/arxiv.2109.06721