scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
T – output time points, yout – impulse response of system (except possible singularities at 0).
step(system, X0=None, T=None, N=None)
Step response of continuous-time system.
Inputs:
system – an instance of the LTI class or a tuple with 2, 3, or 4
elements representing (num, den), (zero, pole, gain), or (A, B, C, D) representation of the
system.
X0 – (optional, default = 0) inital state-vector. T – (optional) time points (autocomputed if not
given). N – (optional) number of time points to autocompute (100 if not given).
Ouptuts: (T, yout)
T – output time points, yout – step response of system.
3.13.7 LTI Reresentations
tf2zpk(b, a) Return zero, pole, gain (z,p,k) representation from a numerator, denominator
representation of a linear filter.
zpk2tf(z, p, k) Return polynomial transfer function representation from zeros
tf2ss(num, den) Transfer function to state-space representation.
ss2tf(A, B, C, D[,
input])
State-space to transfer function.
zpk2ss(z, p, k) Zero-pole-gain representation to state-space representation
ss2zpk(A, B, C, D[,
input])
State-space representation to zero-pole-gain representation.
tf2zpk(b, a)
Return zero, pole, gain (z,p,k) representation from a numerator, denominator representation of a linear filter.
Parameters
b : ndarray
numerator polynomial.
a : ndarray
Returns
z : ndarray
numerator and denominator polynomials.
zeros of the transfer function.
p : ndarray
k : float
poles of the transfer function.
system gain.
If some values of b are too close to 0, they are removed. In that case, a :
BadCoefficients warning is emitted. :
zpk2tf(z, p, k)
Return polynomial transfer function representation from zeros and poles
3.13. Signal processing (scipy.signal) 343