{ } Raw JSON

bundles / scipy 1.18.0 / scipy / signal / _signaltools / residuez

function

scipy.signal._signaltools:residuez

source: /scipy/signal/_signaltools.py:3376

Signature

def residuez(b, a, tol = 0.001, rtype = avg)

Summary

Compute partial-fraction expansion of b(z) / a(z).

Extended Summary

If M is the degree of numerator b and N the degree of denominator a:

        b(z)     b[0] + b[1] z**(-1) + ... + b[M] z**(-M)
H(z) = ------ = ------------------------------------------
        a(z)     a[0] + a[1] z**(-1) + ... + a[N] z**(-N)

then the partial-fraction expansion H(z) is defined as

        r[0]                   r[-1]
= --------------- + ... + ---------------- + k[0] + k[1]z**(-1) ...
  (1-p[0]z**(-1))         (1-p[-1]z**(-1))

If there are any repeated roots (closer than tol), then the partial fraction expansion has terms like

     r[i]              r[i+1]                    r[i+n-1]
-------------- + ------------------ + ... + ------------------
(1-p[i]z**(-1))  (1-p[i]z**(-1))**2         (1-p[i]z**(-1))**n

This function is used for polynomials in negative powers of z, such as digital filters in DSP. For positive powers, use residue.

See Notes of residue for details about the algorithm.

Parameters

b : array_like

Numerator polynomial coefficients.

a : array_like

Denominator polynomial coefficients.

tol : float, optional

The tolerance for two roots to be considered equal in terms of the distance between them. Default is 1e-3. See unique_roots for further details.

rtype : {'avg', 'min', 'max'}, optional

Method for computing a root to represent a group of identical roots. Default is 'avg'. See unique_roots for further details.

Returns

r : ndarray

Residues corresponding to the poles. For repeated poles, the residues are ordered to correspond to ascending by power fractions.

p : ndarray

Poles ordered by magnitude in ascending order.

k : ndarray

Coefficients of the direct polynomial term.

See also

invresz
residue
unique_roots

Aliases

  • scipy.signal.residuez