Spatially constrained ICA algorithm with an application in EEG processing

DOI10.1016/j.sigpro.2011.02.019zbMath1217.94042OpenAlexW2020202591MaRDI QIDQ553743

Lieven De Lathauwer, Maarten De Vos, Sabine Van Huffel

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.2011.02.019

zbMATH Keywords

independent component analysisprior knowledgeconstrained ICA

Mathematics Subject Classification ID

Medical applications (general) (92C50) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Range-Based ICA Using a Nonsmooth Quasi-Newton Optimizer for Electroencephalographic Source Localization in Focal Epilepsy

Uses Software

• FastICA

Cites Work

• Unnamed Item
• Unnamed Item
• Independent component analysis, a new concept?
• Dimensionality reduction in higher-order signal processing and rank-\((R_1,R_2,\ldots,R_N)\) reduction in multilinear algebra
• Bayesian unsupervised learning for source separation with mixture of gaussians prior
• Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures
• Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization
• Source Extraction by Maximizing the Variance in the Conditional Distribution Tails
• Jacobi Angles for Simultaneous Diagonalization
• Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation

This page was built for publication: Spatially constrained ICA algorithm with an application in EEG processing