Blind separation of sources that have spatiotemporal variance dependencies

DOI10.1016/j.sigpro.2003.10.010zbMath1145.94396OpenAlexW1964658307MaRDI QIDQ948375

Aapo Hyvärinen, Jarmo Hurri

Publication date: 16 October 2008

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2003.10.010

zbMATH Keywords

blind source separationindependent component analysishigher-order cumulantsdependent component analysis

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)

Related Items (4)

Independent component analysis: recent advances ⋮ Blind separation of instantaneous mixtures of independent/dependent sources ⋮ A general procedure for learning mixtures of independent component analyzers ⋮ Solving Noisy ICA Using Multivariate Wavelet Denoising with an Application to Noisy Latent Variables Regression

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