signal Package¶
signal
Package¶
median
Module¶
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PyMca5.PyMcaMath.PyMcaSciPy.signal.median.
medfilt1d
(input_data, kernel_size=None, conditional=0)[source]¶ Median filter 1-dimensional arrays.
Description:
Apply a median filter to the input array using a local window-size given by kernel_size (must be odd).Inputs:
in – An 1-dimensional input array. kernel_size – A scalar or an length-2 list giving the size of the
median filter window in each dimension. Elements of kernel_size should be odd. If kernel_size is a scalar, then this scalar is used as the size in each dimension.conditional – If different from 0 implements a conditional median filter.
Outputs: (out,)
- out – An array the same size as input containing the median filtered
- result.
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PyMca5.PyMcaMath.PyMcaSciPy.signal.median.
medfilt2d
(input_data, kernel_size=None, conditional=0)[source]¶ Median filter for 2-dimensional arrays.
Description:
Apply a median filter to the input array using a local window-size given by kernel_size (must be odd).Inputs:
in – An 2 dimensional input array. kernel_size – A scalar or an length-2 list giving the size of the
median filter window in each dimension. Elements of kernel_size should be odd. If kernel_size is a scalar, then this scalar is used as the size in each dimension.conditional – If different from 0 implements a conditional median filter.
Outputs: (out,)
- out – An array the same size as input containing the median filtered
- result.