Cam-Hao Hua

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification

2020 · IEEE Communications Letters

This letter proposes a cost-efficient convolutional neural network (CNN) for robust automatic modulation classification (AMC) deployed for cognitive radio services of modern communication systems. The network architecture is designed with several specific convolutional blocks to …