1. Automatic modulation classification in practical wireless channels;Kim,2016
2. Symbol Denoising in High Order M-QAM using Residual learning of Deep CNN;Khan,2019
3. A log-likelihood function-based algorithm for QAM signal classification
4. Handwriting recognition on form document using convolutional neural network and support vector machines (CNN-SVM);Darmatasia,2017
5. Modulation classification of QAM schemes using the DFT of phase histogram combined with modulus information;Schreyogg,1997