SFA1 Linear Slow Feature Analysis. Y = SFA1(X) performs linear 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] = SFA1(X) also returns the handle HDL to the SFA object, which can be used to further analyze the learned functions. See also SFA1_CREATE, SFA_STEP, SFA_EXECUTE