spectrochempy.bartlett

bartlett()def bartlett(dataset, **kwargs)[source]

Calculate Bartlett apodization (triangular window with end points at zero).

For multidimensional NDDataset, the apodization is by default performed on the last dimension.

The data in the last dimension MUST be time-domain or dimensionless, otherwise an error is raised.

The Bartlett window is defined as

\[w(n) = \frac{2}{M-1} (\frac{M-1}{2} - |n - \frac{M-1}{2}|)\]

where M is the number of point of the input dataset.

Parameters:

  • dataset (Dataset) – Input dataset.

  • **kwargs – Additional keyword parameters (see Other Parameters).

Returns:

  • apodized – Dataset.

  • apod_arr – The apodization array only if ‘retapod’ is True.

Other Parameters:

  • dim (str or int, keyword parameter, optional, default=’x’) – Specify on which dimension to apply the apodization method. If dim is specified as an integer it is equivalent to the usual axis numpy parameter.

  • inv (bool, keyword parameter, optional, default=False) – True for inverse apodization.

  • rev (bool, keyword parameter, optional, default=False) – True to reverse the apodization before applying it to the data.

  • inplace (bool, keyword parameter, optional, default=False) – True if we make the transform inplace. If False, the function return a new dataset.

  • retapod (bool, keyword parameter, optional, default=False) – True to return the apodization array along with the apodized object.

See also

triang

A triangular window that does not touch zero at the ends.