International Journal of Communications, Network and System Sciences

Vol.5 No.9(2012), Paper ID 22384, 14 pages

DOI:10.4236/ijcns.2012.59063

 

Classification of Multi-User Chirp Modulation Signals Using Wavelet Higher-Order-Statistics Features and Artificial Intelligence Techniques

 

Said E. El-Khamy, Hend A. Elsayed

 

Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt
Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt

 

Copyright © 2012 Said E. El-Khamy, Hend A. Elsayed et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


S. E. El-Khamy and H. A. Elsayed, "Classification of Multi-User Chirp Modulation Signals Using Wavelet Higher-Order-Statistics Features and Artificial Intelligence Techniques," International Journal of Communications, Network and System Sciences, Vol. 5 No. 9, 2012, pp. 520-533. doi: 10.4236/ijcns.2012.59063.

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