Fast bayesian compressive sensing using Laplace priors.
S. Derin BabacanRafael MolinaAggelos K. KatsaggelosPublished in: ICASSP (2009)
Keyphrases
- compressive sensing
- image recovery
- sparse representation
- random projections
- compressive sampling
- signal reconstruction
- signal processing
- bayesian inference
- distributed source coding
- maximum likelihood
- image representation
- image processing
- structured sparsity
- data sets
- bayesian framework
- image prior
- learning algorithm
- machine learning