Efficient Compressive Sensing of Biomedical Signals Using A Permuted Kronecker-based Sparse Measurement Matrix.
Parichehreh FirooziSreeraman RajanIoannis LambadarisPublished in: MeMeA (2021)
Keyphrases
- compressive sensing
- random projections
- measurement matrix
- sparse representation
- biomedical signals
- compressive sampling
- image representation
- random sampling
- signal processing
- multiscale
- compressed sensing
- image reconstruction
- principal component analysis
- low dimensional
- non stationary
- dimensionality reduction
- feature space
- orthogonal matching pursuit
- feature extraction
- image sequences