From 5d3b5f996f3e7fe36acc7a122c58885fe26355ae Mon Sep 17 00:00:00 2001
From: Aman Atman <41161981+willtryagain@users.noreply.github.com>
Date: Fri, 10 Jul 2026 22:27:28 +0530
Subject: [PATCH] Update terminology from 'multiple-overlap' to
 'maximal-overlap'

---
 pywt/_swt.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pywt/_swt.py b/pywt/_swt.py
index f64e9597e..19472e987 100644
--- a/pywt/_swt.py
+++ b/pywt/_swt.py
@@ -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.