A mixed integer linear programming formulation for the sparse recovery problem in compressed sensing.
Nazim Burak KarahanogluHakan ErdoganS. Ilker BirbilPublished in: ICASSP (2013)
Keyphrases
- compressed sensing
- integer linear programming formulation
- image reconstruction
- sparse representation
- quadratic assignment problem
- random projections
- compressive sampling
- natural images
- signal recovery
- signal processing
- image classification
- data sets
- image processing
- dimension reduction
- compressive sensing
- orthogonal matching pursuit