Trimming the most aligned face-splitting measurements locally restores norm-preservation, enabling two new iterative hard-thresholding algorithms for low-rank tensor recovery.
The restricted isometry property and its implications for compressed sensing
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On Trimming Tensor-structured Measurements and Efficient Low-rank Tensor Recovery
Trimming the most aligned face-splitting measurements locally restores norm-preservation, enabling two new iterative hard-thresholding algorithms for low-rank tensor recovery.