Recognition of Convolutional Code with Performance Analysis 


Vol. 37,  No. 4, pp. 260-268, Apr.  2012


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  Abstract

The use of an error-correcting code is essential in communication systems where the channel is noisy. Unless a receiver has accurate channel coding parameters, it becomes difficult to decode the digitized encoding bits correctly. In this paper, we propose two algorithms for reconstructing convolutional codes: one for general convolutional codes and the other for punctured convolutional codes. And we also verify the algorithms by performing intensive computer simulation in additive white gaussian noise (AWGN) channel.

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  Cite this article

[IEEE Style]

J. Lee, H. Lee, I. Kang, S. Yun, C. Park, Y. Song, "Recognition of Convolutional Code with Performance Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 260-268, 2012. DOI: .

[ACM Style]

Jae-hwan Lee, Hyun Lee, In-Sik Kang, Sang-bom Yun, Cheol-sun Park, and Young-joon Song. 2012. Recognition of Convolutional Code with Performance Analysis. The Journal of Korean Institute of Communications and Information Sciences, 37, 4, (2012), 260-268. DOI: .

[KICS Style]

Jae-hwan Lee, Hyun Lee, In-Sik Kang, Sang-bom Yun, Cheol-sun Park, Young-joon Song, "Recognition of Convolutional Code with Performance Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 260-268, 4. 2012.