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Riemannian Geometry And CraméR-Rao Bound For Blind Separation Of Gaussian Sources
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Riemannian Geometry And CraméR-Rao Bound For Blind Separation Of Gaussian Sources
We consider the optimal performance of blind separation of Gaussian sources. In practice, this estimation problem is solved by a two-step procedure: estimation of a set of covariance matrices from the observed data and approximate joint diagonalization of
We consider the optimal performance of blind separation of Gaussian sources. In practice, this estimation problem is solved by a two-step procedure: estimation of a set of covariance matrices from the observed data and approximate joint diagonalization of