stimupy.utils.filters#
Functions#
Convolve two N-dimensional arrays using FFT |
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Function to create a 2d bandpass filter in the frequency domain |
- convolve(arr1, arr2, mode='same', axes=None, padding=False)[source]#
Convolve two N-dimensional arrays using FFT
- Parameters:
arr1 (numpy.ndarray) – Input array 1
arr2 (numpy.ndarray) – Input array 2
mode (str {"full", "valid", "same"}, optional) – String which indicates the size of the output. The default is “same”.
axes (int or None (default), optional) – Axes over which to convolve. The default is over all axes
padding (Bool) – if True, pad array before convolving
- Returns:
out – Output array
- Return type:
- bandpass(visual_size=None, ppd=None, shape=None, center_frequency=None, bandwidth=None)[source]#
Function to create a 2d bandpass filter in the frequency domain
- Parameters:
visual_size (Sequence[Number, Number], Number, or None (default)) – visual size [height, width] of grating, in degrees
ppd (Sequence[Number, Number], Number, or None (default)) – pixels per degree [vertical, horizontal]
shape (Sequence[Number, Number], Number, or None (default)) – shape [height, width] of grating, in pixels
center_frequency (float) – center frequency of filter in cpd
bandwidth (float) – bandwidth of filter in octaves
- Returns:
dict with the filter (key: “img”), and additional keys containing filter parameters
- Return type: