New Bernoulli And Gaussian Sensing Matrices For Cluster Structured Sparse Signals.
Hamid NouasriaMohamed Et-tolbaPublished in: WCNC (2019)
Keyphrases
- sparse matrix
- coefficient matrix
- clustering algorithm
- gaussian white noise
- covariance matrices
- signal reconstruction
- spectrum sensing
- signal processing
- real valued
- high dimensional
- sparse representation
- sensor networks
- fourier analysis
- structured data
- doubly stochastic
- compressive sensing
- data clustering
- rows and columns
- singular value decomposition
- hierarchical clustering
- low rank matrix
- low rank matrices
- zero crossing
- subspace clustering
- cluster analysis
- mixture model
- dimensionality reduction
- binary matrices
- gaussian mixture model
- independent component analysis