Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction.
Jian-Feng CaiXiaobo QuWeiyu XuGui-Bo YePublished in: CoRR (2015)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- binary matrices
- low rank subspace
- low rank representation
- missing data
- singular value decomposition
- convex optimization
- matrix factorization
- sparsity constraints
- matrix decomposition
- linear combination
- matrix completion
- robust principal component analysis
- discrete tomography
- binary matrix
- trace norm
- semi supervised
- high dimensional data
- high order
- non rigid structure from motion
- nuclear norm
- kernel matrix
- tomographic reconstruction
- affinity matrix
- singular values
- low rank matrices
- factorization methods
- signal processing
- data sets
- data matrix
- low rank approximation
- low rank and sparse
- rows and columns
- norm minimization
- radon transform
- high resolution
- sparse matrix
- reconstruction error
- image reconstruction
- higher order
- collaborative filtering
- high dimensional