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4. Riemannian Geometry And CraméR-Rao Bound For Blind Separation Of Gaussian Sources

Riemannian Geometry And CraméR-Rao Bound For Blind Separation Of Gaussian Sources

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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Riemannian Geometry And CraméR-Rao Bound For Blind Separation Of Gaussian Sources

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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