Leveraging Diversity and Sparsity in Blind Deconvolution

DOI10.1109/TIT.2017.2788444zbMath1395.94005arXiv1610.06098WikidataQ60123005 ScholiaQ60123005MaRDI QIDQ5375559

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Publication date: 14 September 2018

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1610.06098

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Communication theory (94A05)

Related Items (5)

Blind three dimensional deconvolution via convex optimization ⋮ Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent ⋮ Self-Calibration and Bilinear Inverse Problems via Linear Least Squares ⋮ Sensor calibration for off-the-grid spectral estimation ⋮ BranchHull: convex bilinear inversion from the entrywise product of signals with known signs

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