Structural Scrambling of Circulant Matrices for Cost-effective Compressive Sensing.
Yu-Min LinJie-Fang ZhangJing GengAn-Yeu Andy WuPublished in: J. Signal Process. Syst. (2018)
Keyphrases
- cost effective
- compressive sensing
- image recovery
- random projections
- low cost
- sparse representation
- compressive sampling
- distributed source coding
- signal processing
- cost effectiveness
- image representation
- structured sparsity
- singular value decomposition
- fourier transform
- least squares
- neural network
- dimensionality reduction
- original data
- pattern recognition
- computer vision
- real time