Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/167517
DC FieldValue
dc.titleRecovery sets for subspaces from a vector space
dc.contributor.authorYeow Meng Chee
dc.contributor.authorTuvi Etzion
dc.contributor.authorHan Mao Kiah
dc.contributor.authorHui Zhang
dc.date.accessioned2020-04-30T06:52:19Z
dc.date.available2020-04-30T06:52:19Z
dc.date.issued2020
dc.identifier.citationYeow 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.urihttps://scholarbank.nus.edu.sg/handle/10635/167517
dc.description.abstractRecovery 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.isoen
dc.publisherIEEE
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.typeConference Paper
dc.contributor.departmentINDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
dc.description.sourcetitle2020 IEEE International Symposium on Information Theory
dc.published.stateUnpublished
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons