** Next:** Preprocessing of the data
** Up:** Algorithms for ICA
** Previous:** Algorithms for ICA

After choosing one of the principles of estimation for ICA discussed in
Section 4, one needs a practical method for its
implementation. Usually, this means that after choosing an objective
function for ICA, we need to decide how to optimize it.
In this Section, we shall discuss the optimization problem.
The statistical properties of the ICA method depend only on the
objective functions used.
Thus, the statistical properties of the objective functions were
treated in Section 4. In this Section, we shall compare the
different algorithms mainly on the basis of the stability, convergence speed,
and memory requirements.

*Aapo Hyvarinen*

*1999-04-23*