A tensor decomposition based multiway structured sparse SAR imaging algorithm with Kronecker constraint

DOI10.3390/a10010002zbMath1461.94008OpenAlexW2565702492MaRDI QIDQ1662582

Y. Aharonov

Publication date: 20 August 2018

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a10010002

zbMATH Keywords

tensor decompositionsparse reconstructionSAR imagingKronecker constraintmultiway structured sparsity

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• CoSaMP
• MAG
• SAR

Cites Work

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• Multiarray signal processing: tensor decomposition meets compressed sensing
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• Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
• Structured Compressed Sensing: From Theory to Applications
• Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections
• Accelerating the Nonuniform Fast Fourier Transform
• Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases
• Kronecker Compressive Sensing
• Compressed sensing

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