A Novel Fault Diagnosis Method for Rolling Bearing Based on Improved Sparse Regularization via Convex Optimization.
Dongjie ZhongCancan YiHan XiaoHouzhuang ZhangAnding WuPublished in: Complex. (2018)
Keyphrases
- convex optimization
- norm regularization
- basis pursuit
- inverse problems
- norm minimization
- group lasso
- convex relaxation
- interior point methods
- convex formulation
- low rank
- total variation
- augmented lagrangian
- low rank matrix
- rank minimization
- sparse approximation
- primal dual
- regularization methods
- convex optimization problems
- trace norm
- high dimensional
- sparse representation
- compressed sensing
- augmented lagrangian method
- denoising
- operator splitting
- matrix completion
- kernel matrices
- regularization parameter
- natural images
- image segmentation