Vector multispaces and multispace codes

Basic algebraic and combinatorial properties of finite vector spaces in which individual vectors are allowed to have multiplicities larger than 1 are derived. An application in coding theory is illustrated by showing that multispace codes that are introduced here may be used in random linear network...

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Veröffentlicht in:	Applied mathematics and computation Jg. 486; S. 129041
1. Verfasser:	Kovačević, Mladen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.02.2025
Schlagworte:	Grassmannian Linearized polynomial Modular lattice Multiset Multispace Projective space Random linear network coding Subspace code secondary Modular lattice Multispace Grassmannian Multiset Subspace code Random linear network coding primary Projective space Linearized polynomial
ISSN:	0096-3003
Online-Zugang:	Volltext
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