JADER Blind separation of real signals using JADE (v1.5, Dec. 1997).

Usage: >> B = jader(X);
>> B = jader(X,m);

Notes: 1) If X is an nxT data matrix (n sensors, T samples) then
B=jader(X) is a nxn separating matrix such that S=B*X is an nxT
matrix of estimated source signals.
2) If B=jader(X,m), then B has size mxn so that only m sources are
extracted. This is done by restricting the operation of jader
to the m first principal components.
3) Also, the rows of B are ordered such that the columns of pinv(B)
are in order of decreasing norm; this has the effect that the
`most energetically significant' components appear first in the
rows of S=B*X.

Author: Jean-Francois Cardoso (cardoso@sig.enst.fr)

See the matlab file jader.m (may require other functions)

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