Automatic Modulation Classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints.
Afan AliYangyu FanPublished in: IEEE Signal Process. Lett. (2017)
Keyphrases
- deep learning
- restricted boltzmann machine
- unsupervised learning
- machine learning
- support vector
- pattern recognition
- deep belief networks
- feature extraction
- supervised learning
- training set
- feature space
- feature selection
- weakly supervised
- image classification
- data sets
- mental models
- question answering
- unsupervised feature learning
- decision makers
- object detection
- support vector machine
- active learning
- pairwise
- object recognition
- decision trees