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2 changes: 1 addition & 1 deletion pywt/_swt.py
Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,7 @@ def swt(data, wavelet, level=None, start_level=0, axis=-1,
2. variance is partitioned across scales

When used with ``norm=True``, this transform is closely related to the
multiple-overlap DWT (MODWT) as popularized for time-series analysis,
maximal-overlap DWT (MODWT) as popularized for time-series analysis,
although the underlying implementation is slightly different from the one
published in [1]_. Specifically, the implementation used here requires a
signal that is a multiple of ``2**level`` in length.
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