Extracting Astrophysical Sources from Channel-Dependent Convolutional Mixtures by Correlated Component Analysis in the Frequency Domain.
Luigi BediniEmanuele SalernoPublished in: KES (3) (2007)
Keyphrases
- frequency domain
- component analysis
- source separation
- blind source separation
- single channel
- spatial domain
- independent component analysis
- denoising
- fourier transform
- low frequency
- frequency spectrum
- non stationary
- blind separation
- source signals
- multi channel
- factor analysis
- power spectrum
- subband
- feature extraction
- negative matrix factorization
- filter bank
- speech signal
- low pass
- sparse representation
- speech recognition
- language model
- pattern recognition
- data mining