The predictable degree property and minimality in multidimensional convolutional coding

DOI10.1016/j.disc.2018.11.010zbMath1408.94985OpenAlexW2902828926MaRDI QIDQ1712522

Vakhtang Lomadze

Publication date: 22 January 2019

Published in: Discrete Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.disc.2018.11.010

zbMATH Keywords

minimalityconvolutional codegraded moduleproper representationfiltered modulePD property

Mathematics Subject Classification ID

Convolutional codes (94B10)

Related Items (1)

Non-catastrophicity in multidimensional convolutional coding

Cites Work

• Input-state-output representations and constructions of finite support 2D convolutional codes
• Algebraic decoder of multidimensional convolutional code: Constructive algorithms for determining syndrome decoder and decoder matrix based on Gröbner basis
• On 2D finite support convolutional codes: An algebraic approach
• ``Reduced Polynomial Matrices” in Several Variables
• Minimal and canonical rational generator matrices for convolutional codes
• Algebraic aspects of two-dimensional convolutional codes
• The Geometry of Syzygies
• Multidimensional Convolutional Codes
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