matlab - Cross-correlation coefficient -

I have two waves in the field of time, of which I need to measure the coefficients in MATLAB. I max (ABS (MC, N, 'COF')) but it is not working properly.

In addition to this I need to measure the different types of wave Measure cross correlation coefficient for classes, eg cross correlation coefficient at 1 minute interval, and if these values ​​are matte Rex or something else.

I know that there is a lot to ask, but I am a MATLAB novice and this task seems challenging!
With any help you can give me

Edit: This code is used to test the correlation code:

  X = Rand (1,14400); Y = RAND (1,14400); R = Max (stomach (xx (x, y, 'cof')))  

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you According to switch to equations such as the cross-correlation coefficient can be counted:

 % Say: m and n row vectors r = cov ([m your signals; N]) / (std (m) * std (n));  

If you want to calculate the coefficients for some part of the signal, just use it:

  r = cov ([m (1 : 100); N (1: 100)] / (STD (M (1: 100)) * STD (N (1: 100)));  

Have you also tried the corrcoef function?

Edit OK, I have checked the corrcoef function and it's working properly, take a look:

  & Gt; & Gt; X = 100 * randon (1000,1); & Gt; & Gt; Y = 34 * randn (1000,1); & Gt; & Gt; Corrcoef (x, y) ans = 1.0000 -0.0543 -0.0543 1.0000  

Then the correlation coefficient is equal to -0.0543 - small similarity (expected). To check, let's count the coefficients of the same signals:

  & gt; & Gt; Y = x; & Gt; & Gt; Corrcoef (x, y) ans = 1 1 1 1  

As expected, it is equivalent to 1.

Edit As you can see, the result of corrcoef is the matrix of all possible correlation coefficients between these two signals:

  xyx 1.0000 -0.0543 y -0.0543 1.0000  

For cross-correlation you must choose one of the elements outside the main diagonal (self-correlation coefficient, in this case always equal 1 ).
There is no difference if you choose ans (2, 1) or ANS (1,2) - there is no difference, if you calculate the correlation of x and y, or correlate y and x Are there.

The last code should look like this:

  R = corrcoef (x, y); % Correlation matrix R = R (2,1); % This is your cross-correlation coefficient