A neural network can generate binary sensing matrices with lower mutual coherence than random matrices by optimizing coherence-based losses without any training data.
Contour detec- tion and hierarchical image segmentation.IEEE transactions on pattern analysis and machine intelligence, 33(5):898–916, 2010
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Learning the Mathematical Property for Designing Low Mutual Coherence Binary Sensing Matrices
A neural network can generate binary sensing matrices with lower mutual coherence than random matrices by optimizing coherence-based losses without any training data.