Separation of Non Stationary Sources; Achievable Performance
نویسنده
چکیده
We consider the blind separation of an instantaneous mixture of non stationary source signals, possibly normally distributed. The asymptotic Cramér-Rao bound is exhibited in the case of known source distributions: it reveals how non stationarity and non Gaussianity jointly governs the achievable performance via an index of non stationarity and an index of non Gaussianity.
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