Rapid compressed sensing reconstruction: a semi-tensor product approach

DOI10.1016/j.ins.2019.09.071zbMath1456.94011OpenAlexW2978752610WikidataQ127187534 ScholiaQ127187534MaRDI QIDQ1999186

Zhangquan Wang, Jinming Wang, Sen Xu, Jun Jiang, Zhen-Yu Xu

Publication date: 18 March 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2019.09.071

zbMATH Keywords

compressed sensingsemi-tensor productstorage spaceparallel reconstructionrandom measurement matrixrapid reconstruction

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

Tensor decomposition-based alternate sub-population evolution for large-scale many-objective optimization ⋮ Patch-based weighted SCAD prior for compressive sensing ⋮ Representation recovery via \(L_1\)-norm minimization with corrupted data

Uses Software

• CoSaMP

Cites Work

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• Deterministic Construction of Binary, Bipolar, and Ternary Compressed Sensing Matrices
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• Compressed sensing

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