Repository logo
  • English
  • Deutsch
Log In
or
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Optimal Construction for Decoding 2D Convolutional Codes over an Erasure Channel
 
  • Details

Optimal Construction for Decoding 2D Convolutional Codes over an Erasure Channel

Journal
Axioms
ISSN
2075-1680
Type
journal article
Date Issued
2024-03-15
Author(s)
Raquel Pinto
Marcos Spreafico
Carlos Vela  
DOI
10.3390/axioms13030197
Abstract
In general, the problem of building optimal convolutional codes under a certain criteria is hard, especially when size field restrictions are applied. In this paper, we confront the challenge of constructing an optimal 2D convolutional code when communicating over an erasure channel. We propose a general construction method for these codes. Specifically, we provide an optimal construction where the decoding method presented in the bibliography is considered.</jats:p>
Funding(s)
Fundação para a Ciênciaea Tecnologia (references UIDB/04106/2020 and UIDP/04106/2020)
Language
English
Keywords
decoding
decoding
2D convolutional codes
2D convolutional codes
complexity
complexity
linear decoding
linear decoding
optimal construction
optimal construction MSC: 94B10
94B35
HSG Classification
contribution to scientific community
Publisher
MDPI AG
Volume
13
Number
3
Start page
197
Pages
23
Official URL
https://doi.org/10.3390/axioms13030197
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/121432
Subject(s)

computer science

File(s)
Loading...
Thumbnail Image

open.access

Name

axioms-13-00197.pdf

Size

404.11 KB

Format

Adobe PDF

Checksum (MD5)

e624441200ceee1ed7dd903b027aab5a

here you can find instructions and news.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback