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authorAri Cooper Davis <8947634+aricooperdavis@users.noreply.github.com>2022-07-12 13:15:44 +0100
committerGitHub <noreply@github.com>2022-07-12 13:15:44 +0100
commitb4f0b47563b04f2a36576e664b1b5fe5d2538090 (patch)
treeaa000d52a18244248f031c9cac6d37068d042e32 /numpy/core/numeric.py
parentc85634901cbdffab7b0c1ed174135a939eb5cf0e (diff)
downloadnumpy-b4f0b47563b04f2a36576e664b1b5fe5d2538090.tar.gz
DOC: correct docstring for numpy.correlate()
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r--numpy/core/numeric.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index cfcd237aa..352f43251 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -682,7 +682,7 @@ def correlate(a, v, mode='valid'):
This function computes the correlation as generally defined in signal
processing texts:
- .. math:: c_k = \sum_n a_{n+k} \cdot \overline{v_n}
+ .. math:: c_k = \sum_n a_{n+k} \cdot \overline{v}_n
with a and v sequences being zero-padded where necessary and
:math:`\overline x` denoting complex conjugation.