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bundles / scipy latest / scipy / signal / _filter_design / sos2tf

function

scipy.signal._filter_design:sos2tf

source: /scipy/signal/_filter_design.py :1369

Signature

def   sos2tf ( sos )

Summary

Return a single transfer function from a series of second-order sections

Parameters

sos : array_like

Array of second-order filter coefficients, must have shape (n_sections, 6). See sosfilt for the SOS filter format specification.

Returns

b : ndarray

Numerator polynomial coefficients.

a : ndarray

Denominator polynomial coefficients.

Notes

Array API Standard Support

sos2tf has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

====================  ====================  ====================
Library               CPU                   GPU
====================  ====================  ====================
NumPy                 ✅                     n/a                 
CuPy                  n/a                   ✅                   
PyTorch               ✅                     ⛔                   
JAX                   ⚠️ no JIT             ⛔                   
Dask                  ⚠️ computes graph     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Examples

Find the polynomial representation of an elliptic filter using its 'sos' (second-order sections) format. 
from scipy.signal import sos2tf
from scipy import signal
sos = signal.ellip(1, 0.001, 50, 0.1, output='sos')
✓
sos2tf(sos)
✗

Aliases

  • scipy.signal.sos2tf

Referenced by

This package