oversample

mrinufft.trajectories.tools.oversample(trajectory, new_Ns, kind='cubic')

Resample a trajectory to increase the number of samples using interpolation.

Parameters:

• trajectory (np.ndarray) – The original trajectory array, where interpolation is applied along the second axis.

• new_Ns (int) – The desired number of samples in the resampled trajectory.

• kind (str, optional) – The type of interpolation to use, such as ‘linear’, ‘quadratic’, or ‘cubic’, by default “cubic”.

Returns:

The resampled trajectory array with new_Ns points along the second axis.

Return type:

np.ndarray

Notes

This function uses scipy.interpolate.interp1d to perform the interpolation along the second axis of the input trajectory array.

Warning

Using ‘quadratic’ or ‘cubic’ interpolations is likely to generate samples located slightly beyond the original k-space limits by making smooth transitions.

See also

scipy.interpolate.interp1d

The underlying interpolation function used for resampling.