Automatic Modulation Classification using Graph Convolutional Neural Networks for Time-frequency Representation.
Krasimir TonchevNikolay N. NeshovAntoni IvanovAgata ManolovaVladimir PoulkovPublished in: WPMC (2022)
Keyphrases
- dimensionality reduction
- pattern recognition
- feature extraction
- feature space
- feature selection
- graph representation
- convolutional neural networks
- feature representation
- classification accuracy
- classification scheme
- decision trees
- pattern classification
- feature vectors
- signal processing
- image classification
- frequency domain
- classification method
- directed graph
- automatic classification
- statistical classification
- supervised learning
- classification models
- semi automatic
- pattern representation
- visual speech recognition
- support vector
- bipartite graph
- topological map
- graphical representation
- support vector machine
- image registration
- graph structure
- graph theory
- class labels
- text classification
- feature set