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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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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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Citation Formats

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.