Empirical mode decomposition revisited by multicomponent non-smooth convex optimization.
Nelly PustelnikPierre BorgnatPatrick FlandrinPublished in: Signal Process. (2014)
Keyphrases
- convex optimization
- empirical mode decomposition
- non stationary
- stock market prediction
- hilbert huang transform
- interior point methods
- multi band
- low rank
- total variation
- primal dual
- convex relaxation
- intrinsic mode functions
- wavelet decomposition
- alternating direction method of multipliers
- operator splitting
- convex optimization problems
- eeg signals
- image denoising
- norm minimization
- high frequency
- denoising
- multiresolution
- multiscale
- feature extraction