Matrix Element-Based Theory of Compressive Sensing and Its Application to Electromagnetic Imaging.
Pratik ShahMahta MoghaddamPublished in: IEEE Access (2021)
Keyphrases
- compressive sensing
- sparse representation
- image recovery
- compressive sampling
- random projections
- image processing
- signal reconstruction
- signal processing
- image representation
- multiscale
- computer vision
- singular value decomposition
- low rank
- pattern recognition
- distributed source coding
- preprocessing
- least squares
- data analysis
- structured sparsity