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Blind source separation using time-delayed signals

Tomé, A. ; Teixeira, A. ; Lang, Elmar ; Stadlthanner, K. ; Almeida, R.



Abstract

In this work a modified version of AMUSE, called dAMUSE, is proposed. The main modification consists in increasing the dimension of the data vectors by joining delayed versions of the observed mixed signals. With the new data a matrix pencil is computed and its generalized eigendecomposition is performed as in AMUSE. We will show that in this case the output (or independent) signals are ...

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