Postprocessing and sparse blind source separation of positive and partially overlapped data

DOI10.1016/j.sigpro.2011.02.007zbMath1217.94065OpenAlexW2109509344MaRDI QIDQ553705

C. Ridge, A. J. Shaka, Yuanchang Sun, Jack X. Xin, Fernando del Río

Publication date: 27 July 2011

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2011.02.007

zbMATH Keywords

blind source separationpostprocessingnuclear magnetic resonancenoise detection and reductionpeak-based corrections

Mathematics Subject Classification ID

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

Related Items (1)

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

Uses Software

• ICALAB

Cites Work

• Blind source separation of positive and partially correlated data
• A new procedure for identifying the frame of the convex hull of a finite collection of points in multidimensional space
• 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
• Underdetermined blind source separation using sparse representations

This page was built for publication: Postprocessing and sparse blind source separation of positive and partially overlapped data