Joint use of Bivariate Empirical Mode Decomposition and Convolutional Neural Networks for Automatic Modulation Recognition.
Alexander GrosVéronique MoeyaertPatrice MégretPublished in: PIMRC (2022)
Keyphrases
- convolutional neural networks
- empirical mode decomposition
- convolutional network
- non stationary
- stock market prediction
- signal analysis
- feature extraction
- pattern recognition
- hilbert huang transform
- wavelet decomposition
- intrinsic mode functions
- spatial domain
- object recognition
- image processing
- wavelet transform
- motion estimation
- computational complexity