On the uniqueness of the sparse signals reconstruction based on the missing samples variation analysis

DOI10.1155/2015/629759zbMath1395.94162OpenAlexW2217375132WikidataQ59119175 ScholiaQ59119175MaRDI QIDQ1666192

Miloš Daković, Ljubisa Stanković

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/629759

Mathematics Subject Classification ID

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

Related Items (2)

Reconstruction of sparse signals in impulsive disturbance environments ⋮ On a gradient-based algorithm for sparse signal reconstruction in the signal/measurements domain

Uses Software

• CoSaMP

Cites Work

• A mathematical introduction to compressive sensing
• The restricted isometry property and its implications for compressed sensing
• CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Time-Frequency Energy Distributions Meet Compressed Sensing
• Matching pursuits with time-frequency dictionaries
• Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
• Robust L-estimation based forms of signal transforms and time-frequency representations
• Compressed sensing
• Adaptive greedy approximations

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