MEG Signal Denoising Based on Time-Shift PCA.
Alain de CheveignéJonathan Le RouxJonathan Z. SimonPublished in: ICASSP (1) (2007)
Keyphrases
- denoising
- independent component analysis
- principal component analysis
- wavelet packet
- frequency domain
- image denoising
- signal processing
- soft threshold
- wavelet based denoising
- denoising methods
- additive gaussian noise
- independent components
- wiener filter
- natural images
- source separation
- image processing
- noisy images
- gaussian white noise
- nonlinear filtering
- total variation
- principle component analysis
- dimensionality reduction
- principal components
- denoising algorithm
- principal components analysis
- hard thresholding
- noise removal
- wavelet packet transform
- feature extraction
- face recognition
- high frequency
- pattern recognition
- covariance matrix
- non stationary
- dimension reduction
- face images
- blind source separation
- wavelet domain
- removing noise
- original signal
- image reconstruction
- computer vision
- wavelet denoising
- signal detection
- high dimensional
- kernel pca
- negative matrix factorization