TY  - JOUR
A1  - Nolte, Guido
A1  - Meinecke, Frank C.
A1  - Ziehe, Andreas
A1  - Müller, Klaus-Robert
T1  - Identifying interactions in mixed and noisy complex systems
N2  - We present a technique that identifies truly interacting subsystems of a complex system from multichannel data if the recordings are an unknown linear and instantaneous mixture of the true sources. The method is valid for arbitrary noise structure. For this, a blind source separation technique is proposed that diagonalizes antisymmetrized cross- correlation or cross-spectral matrices. The resulting decomposition finds truly interacting subsystems blindly and suppresses any spurious interaction stemming from the mixture. The usefulness of this interacting source analysis is demonstrated in simulations and for real electroencephalography data
Y1  - 2006
UR  - http://pre.aps.org/
U6  - https://doi.org/10.1103/Physreve.73.051913
ER  -