Interacting Source Analysis- Identifying interactions in mixed and noisy complex systems
We present a technique which identifies interacting subsystems of a complex system from multi-channel 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 new blind source separation (BSS) 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.