A Novel Deterministic Sensing Matrix Based on Kasami Codes for Cluster Structured Sparse Signals.
Hamid NouasriaMohamed Et-tolbaPublished in: ICASSP (2019)
Keyphrases
- coefficient matrix
- sparse matrix
- signal reconstruction
- spectrum sensing
- clustering algorithm
- similarity matrix
- signal processing
- rank minimization
- rows and columns
- low rank matrices
- tensor factorization
- high dimensional
- sensor networks
- sparse representation
- singular value decomposition
- error correction
- low rank matrix
- spectral analysis
- linear algebra
- data clustering
- hierarchical clustering
- sparse data
- real world
- singular values
- low rank approximation
- covariance matrix
- random projections
- dictionary learning
- data points
- low rank
- binary matrices
- eigenvalue decomposition
- positive semi definite
- signal recovery