import dascore as dc
patch = dc.get_example_patch()
# Example 1
# An auto-correlation of the example patch
dft = patch.dft("time", real=True)
dft_sq = dft * dft.conj()
idft = dft_sq.idft()
auto_patch = idft.correlate_shift(dim="time")correlate_shift
correlate_shift(
patch ,
dim ,
undo_weighting = True,
)
Apply a shift to the patch data to undo correlation in frequency domain.
Also adds the appropriate coordinate prefixed with “lag” and has a datatype of float.
Parameters
| Parameter | Description |
|---|---|
| patch | The input patch |
| dim | The dimension name that was correlated in the freq. domain. |
| undo_weighting |
If True, also undo the weighting artifact caused by DASCore’s dft weighting. This is done by simply dividing by the coordinate step. See dft note for more details. |