Blind Separation of Cyclo-stationary Signals using Generalized Eigenvalue Approach

This communication addresses the problem of the blind separation of cyclo-stationary source signals in the case of an instantaneous linear mixture. We show that the separation can be realized by the generalized eigenvectors that simultaneously diagonalize the cyclic correlation matrices of the obser...

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Bibliographische Detailangaben

Hauptverfasser:	Aoufi, T., Bakrim, M., Aboutajdine, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Blind source separation Blind sources separation Context cyclo-stationary signals Digital communication Eigenvalues and eigenfunctions Frequency estimation generalized eigenvalue problem instantaneous linear mixture Numerical simulation Signal processing algorithms simultaneous diagonalization Source separation Statistics White noise
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