Introduction - If you have any usage issues, please Google them yourself
There is a trend to develop blind or semi-blind source extraction algorithms based on
second-order statistics, due to its low computation load and fast processing speed.
An important and primary work is done by Barros and Cichocki, who propose an
extraction algorithm based on a time delay. The algorithm is simple and fast, but its
performance is not satisfying. The paper extends their work and proposes a robust
algorithm based on eigenvalue decomposition of several delayed covariance matrices.
It is faster and has better performance, which is conˉrmed by theoretical analysis
and computer simulations.