Joint Multichannel Deconvolution and Blind Source Separation

DOI10.1137/16M1103713zbMath1451.94019arXiv1703.02650OpenAlexW3101038304MaRDI QIDQ4689650

Ming Jiang, Jérôme Bobin, Jean-Luc Starck

Publication date: 17 October 2018

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1703.02650

zbMATH Keywords

blind source separationdeconvolutionsparsitymultichannel restoration

Mathematics Subject Classification ID

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

Uses Software

• ForWaRD

Cites Work

• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms
• A splitting algorithm for dual monotone inclusions involving cocoercive operators
• Blind Source Separation by Sparse Decomposition in a Signal Dictionary
• A Singular Value Thresholding Algorithm for Matrix Completion
• The curvelet transform for image denoising
• Morphological Diversity and Sparsity in Blind Source Separation
• Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources
• NMF with Sparse Regularizations in Transformed Domains
• ForWaRD: Fourier-Wavelet Regularized Deconvolution for Ill-Conditioned Systems
• Multichannel Blind Separation and Deconvolution of Images for Document Analysis
• Compressive Source Separation: Theory and Methods for Hyperspectral Imaging
• Signal Recovery by Proximal Forward-Backward Splitting
• Convergence of a block coordinate descent method for nondifferentiable minimization

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