W. H. Ahn, Automatic Modulation Classification of Digital Modulation Signals Based on Gaussian Mixture Model, UBICOMM 2014 : The Eighth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, pp.275-280, 2014.

E. Azzouz and A. Nandi, Automatic Modulation Recognition of Communication Signals, pp.132-153, 2013.
DOI : 10.1007/978-1-4757-2469-1

J. Bagga and N. Tripathi, Automatic Modulation Classification Using Statistical Features In Fading Environment, International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, vol.2, issue.8, pp.3701-3708, 2013.

B. F. Beidas and C. L. Weber, Asynchronous classification of MFSK signals using the higher order correlation domain, IEEE Transactions on Communications, vol.46, issue.4, pp.480-493, 1998.
DOI : 10.1109/26.664304

Y. T. Chan and L. G. Gadbois, Identification of the modulation type of a signal, Signal Processing, vol.16, issue.2, pp.149-154, 1989.
DOI : 10.1016/0165-1684(89)90093-5

C. Y. Huan and A. Polydoros, Likelihood methods for MPSK modulation classification, IEEE Transactions on Communications, vol.43, issue.2/3/4, pp.1493-1504, 1995.
DOI : 10.1109/26.380199

J. Heaton, Encog: Library of Interchangeable Machine Learning Models for Java and C#, Journal of Machine Learning Research, vol.16, pp.1243-1247, 2015.

F. Jondral, Automatic classification of high frequency signals, Signal Processing, vol.9, issue.3, pp.177-190, 1985.
DOI : 10.1016/0165-1684(85)90144-6

A. A. Khurshid and A. P. Gokhale, Classification system for digital signal types using neuro fuzzy system and PSO, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), pp.373-378, 2009.
DOI : 10.1109/NABIC.2009.5393850

A. S. Liu and Z. H. Qi, Automatic modulation classification based on the combination of clustering and neural network. The Journal of China Universities of Posts and Telecommunications, pp.13-38, 2011.

J. J. Popoola and R. Olst, Automatic Recognition of Analog Modulated Signals Using Artificial Neural Networks, Computer Technology and Application, vol.2, pp.29-35, 2011.

R. Santos, M. Rupp, S. Bonzi, and A. M. Fileti, Comparison Between Multilayer Feedforward Neural Networks and a Radial Basis Function Network to Detect and Locate Leaks in Pipelines Transporting Gas, Chemical engineering transactions, vol.32, pp.1375-1380, 2013.

P. S. Thakur, S. Madan, and M. Madan, Trends in Automatic Modulation Classification for Advanced Data Communication Networks, International Journal of Advanced Research in Computer Engineering and Technology, vol.4, issue.2, pp.496-507, 2015.

H. K. Wang, B. Zhang, J. P. Wu, Y. Z. Han, X. W. Wu et al., A Research on Automatic Modulation Recognition with the Combination of the Rough Sets and Neural Network, 2010 First International Conference on Pervasive Computing, Signal Processing and Applications, pp.807-810, 2010.
DOI : 10.1109/PCSPA.2010.201

Z. Zhu, Automatic classification of digital communication signal modulations, 2014.

Z. Zhu and A. K. Nandi, Automatic Modulation Classification: Principles, Algorithms and Applications, pp.66-69, 2015.
DOI : 10.1002/9781118906507