tlpipe.utils.multiscale.convolve1d

tlpipe.utils.multiscale.convolve1d(input, weights, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)[source]

Calculate a one-dimensional convolution along the given axis.

The lines of the array along the given axis are convolved with the given weights.

Parameters:
  • input (array_like) – Input array to filter.
  • weights (ndarray) – One-dimensional sequence of numbers.
  • axis (int, optional) – The axis of input along which to calculate. Default is -1.
  • output (array, optional) – The output parameter passes an array in which to store the filter output.
  • mode ({'reflect', 'constant', 'nearest', 'mirror', 'wrap'}, optional) – The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to ‘constant’. Default is ‘reflect’
  • cval (scalar, optional) – Value to fill past edges of input if mode is ‘constant’. Default is 0.0
  • origin (scalar, optional) – The origin parameter controls the placement of the filter. Default 0.0.
Returns:

convolve1d – Convolved array with same shape as input
Return type:

ndarray