Quasi-enumerative coding of balanced run-length limited codes
| dc.contributor.author | Paluncic, Filip | |
| dc.contributor.author | Maharaj, Bodhaswar Tikanath Jugpershad | |
| dc.contributor.email | filip.paluncic@up.ac.za | |
| dc.date.accessioned | 2024-04-11T08:22:44Z | |
| dc.date.available | 2024-04-11T08:22:44Z | |
| dc.date.issued | 2024-03 | |
| dc.description.abstract | Various methods have been proposed for the construction of balanced run-length limited codes. Amongst these methods is the enumerative coding approach by Kurmaev. The advantage of this approach is that the code has maximum cardinality and thus approaches capacity with increasing codeword length. However, enumerative coding has the disadvantage of becoming prohibitively complex for large codeword lengths. We propose an alternative enumerative coding method that reduces the encoding and decoding complexity. We call it quasi-enumerative coding as it does not follow a strict lexicographic order, but retains a one-to-one mapping between rank and the corresponding balanced run-length limited codeword. | en_US |
| dc.description.department | Electrical, Electronic and Computer Engineering | en_US |
| dc.description.librarian | hj2024 | en_US |
| dc.description.sdg | SDG-09: Industry, innovation and infrastructure | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 | en_US |
| dc.identifier.citation | F. Palunčić and B. T. Maharaj, "Quasi-Enumerative Coding of Balanced Run-Length Limited Codes," in IEEE Access, vol. 12, pp. 39375-39389, 2024, doi: 10.1109/ACCESS.2024.3376476. | en_US |
| dc.identifier.issn | 2169-3536 (online) | |
| dc.identifier.other | 10.1109/ACCESS.2024.3376476 | |
| dc.identifier.uri | http://hdl.handle.net/2263/95480 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | © 2024 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. | en_US |
| dc.subject | Enumerative coding | en_US |
| dc.subject | Balanced codes | en_US |
| dc.subject | Run-length limited codes | en_US |
| dc.subject | Media | en_US |
| dc.subject | Object recognition | en_US |
| dc.subject | Symbols | en_US |
| dc.subject | Decoding | en_US |
| dc.subject | Random variables | en_US |
| dc.subject | Encoding | en_US |
| dc.subject | Codes | en_US |
| dc.subject | Partial rank | en_US |
| dc.subject | Lexicographica | en_US |
| dc.subject | Code construction | en_US |
| dc.subject | Strict order | en_US |
| dc.subject | Codeword length | en_US |
| dc.subject | Computational complexity | en_US |
| dc.subject | Codebook | en_US |
| dc.subject | Segment length | en_US |
| dc.subject | Computational requirements | en_US |
| dc.subject | Word length | en_US |
| dc.subject | Low computational complexity | en_US |
| dc.subject | Substring | en_US |
| dc.subject | Coding efficiency | en_US |
| dc.subject | Binomial coefficient | en_US |
| dc.subject | SDG-09: Industry, innovation and infrastructure | en_US |
| dc.title | Quasi-enumerative coding of balanced run-length limited codes | en_US |
| dc.type | Article | en_US |
