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Binary convolutional codes with optimal column distances

Abreu, Zita; Lieb, Julia; Rosenthal, Joachim (2023). Binary convolutional codes with optimal column distances. In: 2023 IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 25 June 2023 - 30 June 2023. Institute of Electrical and Electronics Engineers, 1271-1276.

Abstract

There exists a large literature of construction of convolutional codes with maximal or near maximal free distance. Much less is known about constructions of convolutional codes having optimal or near optimal column distances. In this paper, a new construction of convolutional codes over the binary field with optimal column distances is presented.

Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Scopus Subject Areas:Physical Sciences > Theoretical Computer Science
Physical Sciences > Information Systems
Physical Sciences > Modeling and Simulation
Physical Sciences > Applied Mathematics
Language:English
Event End Date:30 June 2023
Deposited On:11 Jan 2024 12:11
Last Modified:28 Jun 2024 03:37
Publisher:Institute of Electrical and Electronics Engineers
Series Name:IEEE International Symposium on Information Theory (ISIT)
ISSN:2157-8117
ISBN:978-1-6654-7554-9
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/isit54713.2023.10206984
Other Identification Number:ISBN: 978-1-6654-7555-6

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