sfa2

 SFA2 Expanded Slow Feature Analysis.
   Y = SFA2(X) performs expanded Slow Feature Analysis on the input data
   X and returns the output signals Y ordered by increasing temporal
   variation, i.e. the first signal Y(:,1) is the slowest varying one,
   Y(:,2) the next slowest varying one and so on. The input data have to
   be organized with each variable on a column and each data point on a
   row, i.e. X(t,i) is the value of variable nr. i at time t.

   [Y, HDL] = SFA2(X) also returns the handle HDL to the SFA object,
   which can be used to further analyze the learned functions.

   The function space in which the input signal is expanded is by
   default the space of all polynoms of degree 2. To change it, you have
   to overwrite the functions EXPANSION and XP_DIM (cf. the online
   documentation).

   See also SFA2_CREATE, SFA_STEP, SFA_EXECUTE