pyFDN.dss_to_ss#

pyFDN.dss_to_ss(m, A, b=None, c=None, d=None)[source]#

Convert delay state-space (DSS) FDN to standard state-space.

Parameters:

m (ArrayLike) – Vector of delays in samples (min 3 samples).
A (ArrayLike) – Feedback matrix (NxN).
b (ndarray | None) – Input gains (Nx1). Defaults to ones(N,1).
c (ndarray | None) – Output gains (1xN). Defaults to ones(1,N).
d (ndarray | None) – Direct gains (1x1). Defaults to np.ones((1,1)).

Return type:

tuple[ndarray, ndarray, ndarray, ndarray]

Returns:

AA (ndarray) – State-space transition matrix.
bb (ndarray) – State-space input gains.
cc (ndarray) – State-space output gains.
dd (ndarray) – State-space direct gains.