Recognition of Convolutional Code with Performance Analysis 


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


PDF Full-Text
  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.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  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.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880