Error Correction over Optical Transmission

Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun


Reducing bit error rate and improving performance of modern coherent optical communication system is a significant issue. As the distance travelled by the information signal increases, bit error rate will degrade. Support Vector Machines are the most up to date machine learning method for error correction in optical transmission systems. Wavelet transform has been a popular method to signals processing. In this study, the properties of most used Haar and Daubechies wavelets are implemented for signals correction. Our results show that the bit error rate can be improved by using classification based on wavelet transforms (WT) and support vector machine (SVM).


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Paper Citation

in Harvard Style

M. Binjumah W., Redyuk A., Adams R., Davey N. and Sun Y. (2017). Error Correction over Optical Transmission . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 239-248. DOI: 10.5220/0006211402390248

in Bibtex Style

author={Weam M. Binjumah and Alexey Redyuk and Rod Adams and Neil Davey and Yi Sun},
title={Error Correction over Optical Transmission},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},

in EndNote Style

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Error Correction over Optical Transmission
SN - 978-989-758-222-6
AU - M. Binjumah W.
AU - Redyuk A.
AU - Adams R.
AU - Davey N.
AU - Sun Y.
PY - 2017
SP - 239
EP - 248
DO - 10.5220/0006211402390248