Compressed sensing construction for underdetermined source separation

DOI10.1007/s00034-017-0520-yzbMath1373.94752OpenAlexW2592754357MaRDI QIDQ2411721

Shizhong Zhang, Yu-Jie Zhang, Rui Qi

Publication date: 25 October 2017

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-017-0520-y

zbMATH Keywords

compressed sensingrestricted isometry propertyunderdetermined blind source separationblocked matrix

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)

Uses Software

• CoSaMP

Cites Work

• A geometrical stability condition for compressed sensing
• CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
• Some identities of \(q\)-Euler polynomials arising from \(q\)-umbral calculus
• Deterministic constructions of compressed sensing matrices
• Underdetermined Sparse Blind Source Separation of Nonnegative and Partially Overlapped Data
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Compressed Sensing and Redundant Dictionaries
• Compressed Sensing and Source Separation
• Generalized Orthogonal Matching Pursuit
• Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis
• Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit
• A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations

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