Bayesian Blind Source Separation with Unknown Prior Covariance.
Ondrej TichyVáclav SmídlPublished in: LVA/ICA (2015)
Keyphrases
- blind source separation
- source signals
- component analysis
- independent component analysis
- non stationary
- source separation
- mixing matrix
- blind separation
- adaptive particle swarm optimization
- prior knowledge
- negative matrix factorization
- natural gradient
- speech signal
- eigenvalue decomposition
- factor analysis
- algebraic equations
- independent components
- covariance matrix
- neural network
- prior information
- maximum likelihood
- principal component analysis
- bayesian networks
- text documents
- sparse representation
- feature extraction
- machine learning