Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices.
Chiara RavazziSophie M. FossonTiziano BianchiEnrico MagliPublished in: ICASSP (2016)
Keyphrases
- compressive sensing
- compressive sampling
- sparse representation
- signal reconstruction
- noisy environments
- random projections
- projection matrices
- high dimensional
- projection matrix
- signal processing
- three dimensional
- noisy measurements
- low signal to noise ratio
- motion vector fields
- sparse matrices
- frequency domain
- high frequency
- radon transform
- noise free
- original data
- missing data
- image representation
- orthogonal matching pursuit
- singular value decomposition
- estimation algorithm
- noisy data