Numerical methods for simultaneous diagonalization
SIAM Journal on Matrix Analysis and Applications
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Jacobi Angles for Simultaneous Diagonalization
SIAM Journal on Matrix Analysis and Applications
IEEE Transactions on Signal Processing
Blind source-separation using second-order cyclostationarystatistics
IEEE Transactions on Signal Processing
Blind equalization - case of an unknown symbol period
IEEE Transactions on Signal Processing
Blind separation of instantaneous mixtures of nonstationary sources
IEEE Transactions on Signal Processing
Blind Separation of Cyclostationary Signals
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
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It has been observed that, generally, the Comon algorithm successfully achieves to separate instantaneous mixtures of non-stationary signals, despite it has been designed for stationary environments. We address the theoretical justification of this fact. We provide a tractable condition on the statistics of the sources ensuring that the Comon function is a contrast. This condition is worked out for various digital communication signals. We finally explain why the Comon and JADE algorithms remain strongly connected in a cyclo-stationary context.