Recovery of Undersampled Sparse Signals using Combined Smoothed $l_{0}-l_{1}$ Norm.
Hassaan HaiderJawad Ali ShahKushsairy Abdul KadirHaidawati NasirPublished in: ICSIPA (2019)
Keyphrases
- group lasso
- signal processing
- signal reconstruction
- low rank matrices
- variable selection
- compressive sensing
- regression model
- high dimensional
- robust principal component analysis
- compressive sampling
- random projections
- compressed sensing
- sparse data
- mixed norm
- structured sparsity
- norm regularization
- feature selection
- convex optimization
- sparse representation
- linear combination
- objective function