Trivariate Empirical Mode Decomposition via Convex Optimization for Rolling Bearing Condition Identification.
Yong LvHouzhuang ZhangCancan YiPublished in: Sensors (2018)
Keyphrases
- remote sensing
- convex optimization
- empirical mode decomposition
- multispectral
- non stationary
- stock market prediction
- multi band
- primal dual
- interior point methods
- low rank
- hilbert huang transform
- total variation
- wavelet decomposition
- convex optimization problems
- convex relaxation
- higher order
- norm minimization
- intrinsic mode functions
- eeg signals
- machine learning
- feature extraction