Mojtaba Vaezi

Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions

Radio frequency signal modulation classifications find broad applications in cognitive sensing and RF spectrum coexistence. Recently, deep neural networks have been shown to be a powerful tool for automatic modulation classification (AMC). Accounting for different signal variations is paramount towa…