Applying PCA neural models for the blind separation of signals.
Konstantinos I. DiamantarasTheophilos PapadimitriouPublished in: Neurocomputing (2009)
Keyphrases
- blind separation
- neural models
- independent component analysis
- blind source separation
- principal component analysis
- bio inspired
- neural network model
- neural model
- source signals
- negative matrix factorization
- neural network
- independent components
- signal processing
- principal components
- recurrent neural networks
- spiking neural networks
- dimensionality reduction
- artificial neural networks
- single channel
- source separation
- multiscale
- face recognition
- learning algorithm