Sparse Signal Approximation via Nonseparable Regularization.
Ivan W. SelesnickMasoud FarshchianPublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- sparse approximation
- compressive sensing
- signal recovery
- tensor product
- mixed norm
- sparsity regularization
- structured sparsity
- laplacian operator
- signal reconstruction
- linear combination
- closed form
- signal processing
- wavelet transform
- perfect reconstruction
- high frequency
- compressive sampling
- elastic net
- low pass filter
- filter bank
- non stationary
- low rank approximation
- frequency domain
- rank minimization
- numerical scheme
- gaussian process
- approximation algorithms
- phase shifting
- error bounds
- tikhonov regularization
- orthogonal matching pursuit
- high dimensional
- reproducing kernel hilbert space
- linear transform
- conjugate gradient algorithm
- regularization parameter
- piecewise linear
- wavelet packet
- zero crossing
- image processing