Measurement Matrix of Compressive Sensing Based on Gram-Schmidt Orthogonalization.
Xiaofen LinGang LuJingwen YanWei LinPublished in: ICIG (2011)
Keyphrases
- measurement matrix
- compressive sensing
- random projections
- gram schmidt orthogonalization
- dimension reduction
- dimensionality reduction
- sparse representation
- original data
- random sampling
- projection matrix
- principal component analysis
- hash functions
- high dimensionality
- singular value decomposition
- image reconstruction
- low dimensional
- data sets
- feature extraction
- structure from motion
- pattern recognition
- computer vision
- neural network