@@ -1672,8 +1672,7 @@ def acorr(self, x, **kwargs):
16721672 normalization.
16731673
16741674 normed : boolean, optional, default: True
1675- if True, normalize the data by the autocorrelation at the 0-th
1676- lag.
1675+ if True, input vectors are normalised to unit length.
16771676
16781677 usevlines : boolean, optional, default: True
16791678 if True, Axes.vlines is used to plot the vertical lines from the
@@ -1722,6 +1721,8 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
17221721 """
17231722 Plot the cross correlation between *x* and *y*.
17241723
1724+ The correlation with lag k is defined as sum_n x[n+k] * conj(y[n]).
1725+
17251726 Parameters
17261727 ----------
17271728
@@ -1736,8 +1737,7 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
17361737 normalization.
17371738
17381739 normed : boolean, optional, default: True
1739- if True, normalize the data by the autocorrelation at the 0-th
1740- lag.
1740+ if True, input vectors are normalised to unit length.
17411741
17421742 usevlines : boolean, optional, default: True
17431743 if True, Axes.vlines is used to plot the vertical lines from the
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