To the theory of low-density convolutional codes. I
type: Item
instance of: scholarly article
title: To the theory of low-density convolutional codes. I
zbMATH Open document ID: 0980.94031
author: Karin Engdahl
author: Kamil S. Zigangirov
published in: Problems of Information Transmission
publication date: 2002-03-06T00:00:00Z
review text: Selected properties of low-density convolutional (LDC) codes are investigated. The authors analyze a special statistical set of LDC codes described by Markov equations. For such codes the lower bound of free distance and upper bounds for decoding error probability are evaluated. The authors also propose and analyze an iterative decoding algorithm, with hard decisions for homogeneous LDC codes of rate 1/2. Additionally, they compare the complexity characteristics of convolutional turbo- and LDC codes, verifying the analytical results via simulation experiments.
reviewed by: Józef Woźniak
Mathematics Subject Classification ID: 94B10
Mathematics Subject Classification ID: 94B35
Mathematics Subject Classification ID: 94B70
Mathematics Subject Classification ID: 68Q25
zbMATH DE Number: 1467814
zbMATH Keywords: low-density convolutional codes
zbMATH Keywords: convolutional turbo-codes
zbMATH Keywords: LDC codes
zbMATH Keywords: lower bound of free distance
zbMATH Keywords: upper bounds for decoding error probability
zbMATH Keywords: iterative decoding algorithm
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 1467814