Subspace denoising of EEG artefacts via multivariate EMD.
David LooneyValentin GoverdovskyPreben KidmoseDanilo P. MandicPublished in: ICASSP (2014)
Keyphrases
- denoising
- image denoising
- empirical mode decomposition
- eeg signals
- distance measure
- image processing
- noisy images
- total variation
- low dimensional
- natural images
- wavelet domain
- gaussian density
- dimensionality reduction
- gaussian noise
- event related
- multivariate data
- subspace clustering
- higher order singular value decomposition
- principal component analysis
- frequency domain
- high dimensional
- signal processing
- linear subspace
- subspace learning
- regression model
- denoising algorithm
- noise removal
- wavelet packet
- principal components
- non stationary
- feature extraction
- lower dimensional
- wavelet denoising
- motor imagery
- statistical tests
- brain computer interface
- high dimensional data
- physiological signals
- subspace methods
- nonlocal means
- information preserving
- brain signals
- frequency band
- data sets