A low complexity Orthogonal Matching Pursuit for sparse signal approximation with shift-invariant dictionaries.
Boris MailhéRémi GribonvalFrédéric BimbotPierre VandergheynstPublished in: ICASSP (2009)
Keyphrases
- low complexity
- orthogonal matching pursuit
- shift invariant
- sparse representation
- sparse coding
- signal recovery
- compressive sensing
- sparse approximation
- signal processing
- compressed sensing
- computational complexity
- image classification
- face recognition
- motion estimation
- image patches
- random projections
- wavelet domain
- dimensionality reduction
- wavelet coefficients
- high dimensional data
- machine learning
- multiresolution
- blurred images
- transform domain
- image representation
- frequency domain
- model selection
- test images
- principal component analysis
- image reconstruction
- linear combination
- multiscale