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Authors: Weam M. Binjumah 1 ; Alexey Redyuk 2 ; Rod Adams 3 ; Neil Davey 3 and Yi Sun 3

Affiliations: 1 University of Hertfordshire and Taibah University, United Kingdom ; 2 Institute of Computational Technologies SB RAS, Russian Federation ; 3 University of Hertfordshire, United Kingdom

Keyword(s): Support Vector Machine (SVM), Machine Learning, Optical Signals, Coherent Optical Communications, Error Correction, Wavelet Transform.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Classification ; Feature Selection and Extraction ; Health Engineering and Technology Applications ; Pattern Recognition ; Signal Processing ; Software Engineering ; Theory and Methods

Abstract: 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 several formats:
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 - ICPRAM; ISBN 978-989-758-222-6; ISSN 2184-4313, SciTePress, pages 239-248. DOI: 10.5220/0006211402390248

@conference{icpram17,
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 - ICPRAM},
year={2017},
pages={239-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006211402390248},
isbn={978-989-758-222-6},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Error Correction over Optical Transmission
SN - 978-989-758-222-6
IS - 2184-4313
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
PB - SciTePress