bundles / scipy latest / scipy / signal / _filter_design / BadCoefficients
class
scipy.signal._filter_design:BadCoefficients
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-arrayapifor more information.
Aliases
-
scipy.signal.BadCoefficients