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Turbo product codes based on convolutional codes
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Date
2006-08-01
Author
Gazi, Orhan
Yılmaz, Ali Özgür
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In this article, we introduce a new class of product codes based on convolutional codes, called convolutional product codes. The structure of product codes enables parallel decoding, which can significantly increase decoder speed in practice. The use of convolutional codes in a product code setting makes it possible to use the vast knowledge base for convolutional codes as well as their flexibility in fast parallel decoders. Just as in turbo codes, interleaving turns out to be critical for the performance of convolutional product codes. The practical decoding advantages over serially-concatenated convolutional codes are emphasized.
Subject Keywords
Electrical and Electronic Engineering
,
General Computer Science
,
Electronic, Optical and Magnetic Materials
URI
https://hdl.handle.net/11511/39551
Journal
ETRI JOURNAL
DOI
https://doi.org/10.4218/etrij.06.0105.0187
Collections
Department of Electrical and Electronics Engineering, Article
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O. Gazi and A. Ö. Yılmaz, “Turbo product codes based on convolutional codes,”
ETRI JOURNAL
, pp. 453–460, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39551.