Assalamo Alykom,
Actually I am afraid I wont be useful for you
about the cross correlation point but I may tell you how can you make the
cross correlation and the Hilbert transform
CROSSCORR Compute or plot sample cross-correlation function.
Compute or plot the sample cross-correlation function (XCF) between
univariate, stochastic time series. When called with no output arguments,
CROSSCORR displays the XCF sequence with confidence bounds.
HILBERT Discrete-time analytic signal via Hilbert transform.
X = HILBERT(Xr) computes the so-called discrete-time analytic signal
X = Xr + i*Xi such that Xi is the Hilbert transform of real vector Xr.
If the input Xr is complex, then only the real part is used:
Xr=real(Xr).
If Xr is a matrix, then HILBERT operates along the columns of Xr.
You may try what you doubt about and get sure whether
it has a reasonable physical meaning or not
Wish It could help
,
Ahmad El-Saeed
---------------------------------
From: m... [mailto:m...] On Behalf Of Nikhil Eswaran
Sent: Wednesday, July 05, 2006 8:38 PM
To: m...
Subject: [matlab] cross correlation and time delay
Hello all,
I am new to MATLAB and even newer to signal processing. I am doing some work on
Time delay estimation. I have a few questions which I hope some of you would be
able to help me with,
As of now I am experimenting with random signals generated by a signal
analyser. I have been told that the cross correlation is not feasible when
applied to periodic signals ( e.g sine waves). Is this correct?
Also, how can I apply the Hilbert Transform for cross correlation? Can this be
done in MATLAB?
I hope you can clarify my doubts.
Many Thanks once again.
Regards,