ezmsg.sigproc.gaussiansmoothing#

Gaussian kernel smoothing filter.

Functions

gaussian_smoothing_filter_design(sigma=1.0, width=4, kernel_size=None)[source]#

Design a normalized Gaussian FIR kernel. sigma is in samples; callers with a time-domain sigma must scale by the sampling rate first.

Parameters:
Return type:

tuple[ndarray[tuple[Any, …], dtype[_ScalarT]], ndarray[tuple[Any, …], dtype[_ScalarT]]] | None

Classes

class GaussianSmoothingFilter(*args, settings=None, **kwargs)[source]#

Bases: BaseFilterByDesignTransformerUnit[GaussianSmoothingSettings, GaussianSmoothingFilterTransformer]

Parameters:

settings (Settings | None)

SETTINGS#

alias of GaussianSmoothingSettings

class GaussianSmoothingFilterTransformer(*args, **kwargs)[source]#

Bases: FilterByDesignTransformer[GaussianSmoothingSettings, tuple[ndarray[tuple[Any, …], dtype[_ScalarT]], ndarray[tuple[Any, …], dtype[_ScalarT]]]]

get_design_function()[source]#

Return a function that takes sampling frequency and returns filter coefficients.

Return type:

Callable[[float], tuple[ndarray[tuple[Any, …], dtype[_ScalarT]], ndarray[tuple[Any, …], dtype[_ScalarT]]] | None]

class GaussianSmoothingSettings(axis: str | None = None, coef_type: str = 'ba', use_mlx_metal: bool = True, sigma: float | None = 0.01, width: int | None = 4, kernel_size: int | None = None)[source]#

Bases: FilterBaseSettings

Parameters:

  • axis (str | None)

  • coef_type (str)

  • use_mlx_metal (bool)

  • sigma (float | None)

  • width (int | None)

  • kernel_size (int | None)

sigma: float | None = 0.01#

float Standard deviation of the Gaussian kernel, in seconds. Converted to samples using the sampling rate of the first message. The -3 dB corner frequency is sqrt(ln 2) / (2 * pi * sigma); the default of 0.01 s is equivalent to a ~13.2 Hz low-pass.

Type:

sigma

width: int | None = 4#

int Number of standard deviations covered by the kernel window if kernel_size is not provided.

Type:

width

kernel_size: int | None = None#

int | None Length of the kernel in samples. If provided, overrides automatic calculation.

Type:

kernel_size

__init__(axis=None, coef_type='ba', use_mlx_metal=True, sigma=0.01, width=4, kernel_size=None)#
Parameters:

  • axis (str | None)

  • coef_type (str)

  • use_mlx_metal (bool)

  • sigma (float | None)

  • width (int | None)

  • kernel_size (int | None)

Return type:

None