A recursive sparse blind source separation method and its application to correlated data in NMR spectroscopy of biofluids

DOI10.1007/S10915-011-9528-9zbMath1252.92040OpenAlexW2095930741MaRDI QIDQ454329

Yuanchang Sun, Jack X. Xin

Publication date: 1 October 2012

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-011-9528-9

zbMATH Keywords

blind source separationrecursive methoddata clustering\(\ell_{1}\) minimizationnonnegative and correlated sources

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) Physiological flow (92C35)

Uses Software

• FastICA
• ICALAB

Cites Work

• Postprocessing and sparse blind source separation of positive and partially overlapped data
• Fast \(\ell _{1}\) minimization by iterative thresholding for multidimensional NMR spectroscopy
• Blind source separation of positive and partially correlated data
• A time domain algorithm for blind separation of convolutive sound mixtures and \(L_1\) constrained minimization of cross correlations
• Independent component analysis, a new concept?
• A Soft-Constrained Dynamic Iterative Method of Blind Source Separation
• Learning the parts of objects by non-negative matrix factorization
• Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
• Underdetermined blind source separation using sparse representations

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