A data-driven approach to sampling matrix selection for compressive sensing.
Elin FarnellHenry KvingeJohn P. DixonJulia R. DupuisMichael KirbyChris PetersonElizabeth C. SchundlerChristian W. SmithPublished in: CoRR (2019)
Keyphrases
- compressive sensing
- compressive sampling
- random projections
- image recovery
- sparse representation
- compressed sensing
- signal reconstruction
- signal processing
- random sampling
- image representation
- structured sparsity
- orthogonal matching pursuit
- neural network
- image processing
- distributed source coding
- image reconstruction
- singular value decomposition
- linear combination
- machine learning