Noisy Compressive Sampling Based on Block-Sparse Tensors: Performance Limits and Beamforming Techniques.
Rémy BoyerMartin HaardtPublished in: IEEE Trans. Signal Process. (2016)
Keyphrases
- compressive sensing
- sparse representation
- random projections
- high order
- tensor voting
- coefficient matrix
- frequency domain
- image representation
- monte carlo
- blind source separation
- tensor factorization
- high dimension
- noisy environments
- high dimensional
- motion planning
- sparse coding
- block size
- dictionary learning
- linear array
- speech enhancement