Compressive Sensing of Sparse Tensors

DOI10.1109/TIP.2014.2348796zbMath1374.94514DBLPjournals/tip/FriedlandLS14arXiv1305.5777OpenAlexW2055796721WikidataQ50785933 ScholiaQ50785933MaRDI QIDQ4592498

Dan Schonfeld, Qun Li, Shmuel Friedland

Publication date: 20 November 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.5777

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (6)

Two Algorithms for Compressed Sensing of Sparse Tensors ⋮ Conditions for matchability in groups and field extensions ⋮ Spectral inequalities for nonnegative tensors and their tropical analogues ⋮ A novel measurement matrix optimization approach for hyperspectral unmixing ⋮ RIP-based performance guarantee for low-tubal-rank tensor recovery ⋮ On matchable subsets in abelian groups and their linear analogues

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