Reconstructing Sparse Exponential Polynomials from Samples: Difference Operators, Stirling Numbers and Hermite Interpolation.
Tomas SauerPublished in: MMCS (2016)
Keyphrases
- sparse sampling
- piecewise polynomial
- linear relationship
- data sets
- projection method
- binary matrices
- sparse representation
- avoid overfitting
- morphological operators
- band limited
- linear interpolation
- sparse data
- hermite transform
- high dimensional
- training set
- compressive sensing
- series expansion
- fourier transform
- training samples
- compressed sensing
- decision diagrams
- interpolation methods
- sample set
- sampling methods
- random projections
- sparse coding
- neural network