Summary
The 2018 International Symposium on Information Theory and Its Applications　(ISITA2018)
2018
Session Number:Tu-AM-1-1
Session:
Number:Tu-AM-1-1.4
On the Local Erasure Correction Capacity of Convolutional Codes
Fedor Ivanov, Alexey Kreshchuk, Victor Zyablov,
pp.296-300
Publication Date:2018/10/18
Online ISSN:2188-5079
DOI:10.34385/proc.55.Tu-AM-1-1.4
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Summary:
In this paper the decoding capabilities of convolutional codes over the erasure channel are studied. More precisely we focus on local erasures correction.We present special decoders that are able to correct significantly more erasures locally than block codes of the same rate. We also present some expressions that connect the number of possible corrected erasures with memory, rate and free distance of convolutional codes.