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Blind source separation using time-delayed signals
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Resumo(s)
In this work a modified version of AMUSE, called
MMUSE, 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 filtered versions of the source signals. Some numerical simulations using artificially
mixed signals as well as biological data (RR and QT intervals of
Electrocardiogram) are presented.