Sampling and reconstruction in sparse atomic spaces.
Volker PohlEzra TampubolonHolger BochePublished in: ICASSP (2013)
Keyphrases
- compressive sampling
- compressive sensing
- compressed sensing
- dense sampling
- sparse sampling
- signal reconstruction
- image reconstruction
- sparse representation
- random projections
- binary matrices
- random sampling
- sparse reconstruction
- orthogonal matching pursuit
- high dimensional
- sparse data
- sparsely sampled
- super resolution
- reconstruction process
- sparse coding
- high resolution
- sample size
- least squares
- reconstruction error
- data sets
- parameter space
- three dimensional
- sampling strategy
- band limited
- sparsity constraints
- shape recovery
- dense correspondences
- discrete tomography
- sampled data
- sampling rate
- reconstruction method
- monte carlo
- image sequences
- feature selection