why the result of cross-correlation coefficient is 1?
5 views (last 30 days)
Show older comments
Hi,there is a simple program to compute the cross correlation coefficient between 'orginal signal' and 'reconstructing signal'。There are two questions: (1)why the values of the X and the Y are different? (2)now that the values are different,why the cross correlation coefficient is always 1, in spite of different dbN wavelet? Help me please!Thank you!
x=randn(1,50);
[cA,cD]=dwt(x,'db4');
subplot(311);
plot(x);
title('Original signal');
y=idwt(cA,cD,'db4');
subplot(312);
plot(y);
title('Reconstructing signal');
difference=x-y;
subplot(313);
plot(difference);
title('error');
r=corrcoef(x,y)
0 Comments
Accepted Answer
Wayne King
on 10 Mar 2012
Hi Bin, the Cyclist is absolutely right. There is no difference between the two because all you have done is invert the wavelet transform.
When you say there are differences, what are the sizes of these "differences"?
execute this line and see what you get:
max(abs(x-y))
I get something on the order of 10^(-12) for my particular realization of randn().
When the largest difference between any two elements of a vector is that small, then you should not expect the cross correlation sequence to be anything but 1 at all lags.
More Answers (1)
the cyclist
on 10 Mar 2012
I am not an expert on wavelet transforms, but first you transform "x", and then you apply the inverse transform (with the same coefficients and N) to that to get "y". Therefore, x is equal to y, and they have perfect correlation.
See Also
Categories
Find more on Signal Analysis in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!