Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/167517
DC Field | Value | |
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dc.title | Recovery sets for subspaces from a vector space | |
dc.contributor.author | Yeow Meng Chee | |
dc.contributor.author | Tuvi Etzion | |
dc.contributor.author | Han Mao Kiah | |
dc.contributor.author | Hui Zhang | |
dc.date.accessioned | 2020-04-30T06:52:19Z | |
dc.date.available | 2020-04-30T06:52:19Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Yeow Meng Chee, Tuvi Etzion, Han Mao Kiah, Hui Zhang (2020). Recovery sets for subspaces from a vector space. 2020 IEEE International Symposium on Information Theory. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/167517 | |
dc.description.abstract | Recovery sets for vectors and subspaces are important in constructions of distributed storage system codes. These concepts are also interesting in their own right. In this paper we consider the following very basic recovery question: what is the maximum number of possible pairwise disjoint recovery sets if the recovered element is a d-dimensional subspace and the elements stored are the one-dimensional subspaces of an n-dimensional vector space over GF(q). Lower and upper bounds on the number of such recovery sets are provided. It is shown that generally these bounds are either tight or very close of being tight. | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.type | Conference Paper | |
dc.contributor.department | INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT | |
dc.description.sourcetitle | 2020 IEEE International Symposium on Information Theory | |
dc.published.state | Unpublished | |
Appears in Collections: | Elements Staff Publications |
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