<html>
<head>
<meta content="text/html; charset=ISO-8859-1"
http-equiv="Content-Type">
</head>
<body bgcolor="#FFFFFF" text="#000000">
Hi,<br>
Le 19/03/2013 08:12, Sudheer Joseph a écrit :
<blockquote
cite="mid:1363677120.65039.YahooMailNeo@web193405.mail.sg3.yahoo.com"
type="cite">
<div dir="ltr"><font face="Arial" size="2"><b><span
style="font-weight:bold;">Thank you Pierre,</span></b></font></div>
<div dir="ltr"><font face="Arial" size="2"><span><span
style="font-weight: bold;"> </span>It
appears the numpy.correlate uses the frequency domain method
for getting the ccf. I would like to know how serious or
exactly what is the issue with normalization?. I have
computed cross correlation using the function and
interpreting the results based on it. It will be helpful if
you could tell me if there is a significant bug in the
function</span></font></div>
<div dir="ltr"><font face="Arial" size="2"><span>with best
regards,</span></font></div>
<div dir="ltr"><font face="Arial" size="2"><span>Sudheer</span></font></div>
</blockquote>
np.correlate works in the time domain. I started a discussion about
a month ago about the way it's implemented
<a class="moz-txt-link-freetext" href="http://mail.scipy.org/pipermail/numpy-discussion/2013-February/065562.html">http://mail.scipy.org/pipermail/numpy-discussion/2013-February/065562.html</a>
Unfortunately I didn't find time to dig deeper in the matter which
needs working in the C code of numpy which I'm not familiar with.<br>
<br>
Concerning the normalization of mpl.xcorr, I think that what is
computed is just fine. It's just the way this normalization is
described in the docstring which I think is weird.
<meta http-equiv="content-type" content="text/html;
charset=ISO-8859-1">
<a class="moz-txt-link-freetext" href="https://github.com/matplotlib/matplotlib/issues/1835">https://github.com/matplotlib/matplotlib/issues/1835</a><br>
<br>
best,<br>
Pierre<br>
</body>
</html>