Robust blind source separation algorithms using cumulants.

DOI10.1016/S0925-2312(02)00525-8zbMath1047.68095WikidataQ60486959 ScholiaQ60486959MaRDI QIDQ1870676

Andrzej Cichocki, Sergio Cruces, Luis Castedo

Publication date: 14 May 2003

Published in: Neurocomputing (Search for Journal in Brave)

zbMATH Keywords

algorithmsNewton methodsEquivariantIndependent component analysisBlind source separationHigh order statistics

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (4)

Independent component analysis via optimum combining of kurtosis and skewness-based criteria ⋮ Free component analysis: theory, algorithms and applications ⋮ Blind Source Separation and Blind Equalization Algorithms for Mechanical Signal Separation and Identification ⋮ Provable ICA with unknown Gaussian noise, and implications for Gaussian mixtures and autoencoders

Uses Software

• KELLEY

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