Compressed Sensing, Sparse Inversion, and Model Mismatch

DOI10.1007/978-3-319-16042-9_3zbMath1333.94022OpenAlexW1048996569MaRDI QIDQ3460830

Edwin K. P. Chong, Yuejie Chi, Ali Pezeshki, Louis L. Scharf

Publication date: 8 January 2016

Published in: Compressed Sensing and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-16042-9_3

Mathematics Subject Classification ID

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

Uses Software

• CoSaMP

Cites Work

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• The restricted isometry property and its implications for compressed sensing
• CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
• The convex geometry of linear inverse problems
• A new third-order Newton-type iterative method for solving nonlinear equations
• Spectral compressive sensing
• Robust Spectral Compressed Sensing via Structured Matrix Completion
• Compressed Remote Sensing of Sparse Objects
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Decoding by Linear Programming
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• Estimating two-dimensional frequencies by matrix enhancement and matrix pencil
• Cramer-Rao bounds for deterministic modal analysis
• Eigenvalue Beamforming Using a Multirank MVDR Beamformer and Subspace Selection
• High-Resolution Radar via Compressed Sensing
• Sensitivity to Basis Mismatch in Compressed Sensing
• Compressed Sensing Off the Grid
• Towards a Mathematical Theory of Super‐resolution

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