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bundles / scipy 1.17.1 / scipy / signal / _filter_design / BadCoefficients

class

scipy.signal._filter_design:BadCoefficients

source: /scipy/signal/_filter_design.py :39

Summary

Warning about badly conditioned filter coefficients

Notes

Array API Standard Support

BadCoefficients 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                   ⛔                     ⛔                   
Dask                  ⛔                     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Aliases

  • scipy.signal.BadCoefficients