Automatic digital modulation recognition in presence of noise using SVM and PSO

@article{Valipour2012AutomaticDM,
  title={Automatic digital modulation recognition in presence of noise using SVM and PSO},
  author={Mohammad Hadi Valipour and M. M. Homayounpour and M. A. Mehralian},
  journal={6th International Symposium on Telecommunications (IST)},
  year={2012},
  pages={378-382}
}
  • Mohammad Hadi Valipour, M. M. Homayounpour, M. A. Mehralian
  • Published 2012
  • Computer Science
  • 6th International Symposium on Telecommunications (IST)
  • Automatic digital modulation recognition in intelligent communication systems is one of the most important issues in software radio and cognitive radio. In this paper a new method will be presented for automatic digital modulation classification in presence of additive white Gaussian noise (AWGN). In this method a set of three different types of features is extracted to be employed in recognition process. Classification is based on support vector machine (SVM) as a powerful method for pattern… CONTINUE READING
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