Automatic Composite-Modulation Classification Using Ultra Lightweight Deep-Learning Network Based on Cyclic-Paw-Print.
Xiao YanPengfei YangXunuo ZhongQian WangHsiao-Chun WuLing HePublished in: IEEE Trans. Cogn. Commun. Netw. (2024)
Keyphrases
- lightweight
- deep learning
- unsupervised learning
- restricted boltzmann machine
- support vector
- machine learning
- text classification
- image classification
- unsupervised feature learning
- wireless sensor networks
- decision trees
- feature space
- pattern recognition
- supervised learning
- feature selection
- feature extraction
- weakly supervised
- data sets
- high dimensional
- communication infrastructure
- development environments
- mental models
- question answering
- training set
- text mining
- principal component analysis
- support vector machine
- feature vectors