src.helpers.signal_processing.interpolation module

This module offers helper functions for signal interpolation.

They are important for the data-driven assessment, e.g. in the UNECE-R79 use case.

It includes a resample and a interpolation function based on scipy. They are mainly based on numpy arrays for fast vectorized operations. See details in their respective documentations.

Contact person: Stefan Riedmaier Creation date: 17.06.2020 Python version: 3.8

src.helpers.signal_processing.interpolation.interpolate_signal(quantity, length, method='nearest')

This function interpolates a signal based on scipy interp1d method.

Parameters:

  • quantity (np.ndarray) – signal to be interpolated

  • length (int) – number of samples in the interpolated signal

  • method (str) – (optional) scipy interpolation method

Returns:

interpolated signal

Return type:

np.ndarray

src.helpers.signal_processing.interpolation.resample_signal(quantity, length)

This function resamples a signal via scipys Fourier method.

Parameters:

  • quantity (np.ndarray) – signal to be resampled

  • length (int) – number of samples in the resampled signal

Returns:

resampled signal

Return type:

np.ndarray