Generalized notions of sparsity and restricted isometry property. Part I: A unified framework
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Abstract (arXiv)
The restricted isometry property (RIP) is an integral tool in the analysis of various inverse problems with sparsity models. Motivated by the applications of compressed sensing and dimensionality reduction of low-rank tensors, we propose generalized notions of sparsity and provide a unified framework for the corresponding RIP, in particular when combined with isotropic group actions. Our results extend an approach by Rudelson and Vershynin to a much broader context including commutative and noncommutative function spaces. Moreover, our Banach space notion of sparsity applies to affine group actions. The generalized approach in particular applies to high order tensor products.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 28 Jun 2017.
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- 2021Max-Linear Regression by Convex Programmingcited by 2
- 2021Max-Linear Regression by Convex Programming12 Mar 2021