pyFDN.loop_tf

pyFDN.loop_tf(delays, A)

Loop transfer function P(z) = diag(z^m) - A as a polynomial matrix.

Coefficients are stored in the z^1 convention along axis 2 (descending powers of z, last slice = z^0). A polynomial feedback matrix (N, N, K) in z^{-1} convention is placed at the low-power end, i.e. the result is diag(z^m) - z^{K-1} A(z) (multiplied through by z^{K-1} to clear negative powers), matching loopTF.m.

Return type:

ndarray