@@ -1673,8 +1673,7 @@ def acorr(self, x, **kwargs):
16731673 normalization.
16741674
16751675 normed : boolean, optional, default: True
1676- if True, normalize the data by the autocorrelation at the 0-th
1677- lag.
1676+ if True, input vectors are normalised to unit length.
16781677
16791678 usevlines : boolean, optional, default: True
16801679 if True, Axes.vlines is used to plot the vertical lines from the
@@ -1723,6 +1722,8 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
17231722 """
17241723 Plot the cross correlation between *x* and *y*.
17251724
1725+ The correlation with lag k is defined as sum_n x[n+k] * conj(y[n]).
1726+
17261727 Parameters
17271728 ----------
17281729
@@ -1737,8 +1738,7 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
17371738 normalization.
17381739
17391740 normed : boolean, optional, default: True
1740- if True, normalize the data by the autocorrelation at the 0-th
1741- lag.
1741+ if True, input vectors are normalised to unit length.
17421742
17431743 usevlines : boolean, optional, default: True
17441744 if True, Axes.vlines is used to plot the vertical lines from the
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