Supervised Machine Learning for Signals Having RRC Shaped Pulses

17 May 2017Mohammad BariHussain TaherSyed Saad SheraziMilos Doroslovacki

Classification performances of the supervised machine learning techniques such as support vector machines, neural networks and logistic regression are compared for modulation recognition purposes. The simple and robust features are used to distinguish continuous-phase FSK from QAM-PSK signals... (read more)

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