RLS-weighted Lasso for adaptive estimation of sparse signals.
Daniele AngelosanteGeorgios B. GiannakisPublished in: ICASSP (2009)
Keyphrases
- regularized regression
- least squares
- signal reconstruction
- sparse representation
- generalized linear models
- elastic net
- regularized least squares
- recursive least squares
- feature selection
- adaptive filtering
- low rank
- high dimensional
- compressive sensing
- dense motion estimation
- signal processing
- estimation algorithm
- modulation scheme
- basis pursuit
- sparse data
- compressed sensing
- hybrid learning
- linear regression
- independent component analysis
- cross validation
- model selection
- feature space