diff --git a/saqc/funcs/pattern.py b/saqc/funcs/pattern.py
index d1ebeee42a1a99226f29948715daf7761efa4615..0c91a679ea8a9d64226781964e80f0b58e30fa44 100644
--- a/saqc/funcs/pattern.py
+++ b/saqc/funcs/pattern.py
@@ -12,7 +12,7 @@ from saqc.lib.tools import customRoller
 
 
 @register(masking='field')
-def flagPatternByDTW(data, field, flagger, ref_field, widths=(1, 2, 4, 8), waveform='mexh', **kwargs):
+def flagPatternByWavelet(data, field, flagger, ref_field, widths=(1, 2, 4, 8), waveform='mexh', **kwargs):
     """
     Pattern recognition via wavelets.
 
@@ -89,7 +89,7 @@ def flagPatternByDTW(data, field, flagger, ref_field, widths=(1, 2, 4, 8), wavef
 
 
 @register(masking='field')
-def flagPatternByWavelet(data, field, flagger, ref_field, max_distance=0.03, normalize=True, **kwargs):
+def flagPatternByDTW(data, field, flagger, ref_field, max_distance=0.03, normalize=True, **kwargs):
     """ Pattern Recognition via Dynamic Time Warping.
 
     The steps are: