MATLAB: How to calculate normalized cross correlations for two signals ???

Question

hello

I hope you are doing well and fine

i have two arrays of data for two different signals

i want to compare them using cross correlations

xcorr method is used to get the correlation value and then lag value and i plot it using this code

   [tmpr lags]=normxcorr2(powersignal1,power_b_int);
    [tmpr1 lags1]=normxcorr2(powersignal1,powerT1);

my problem is that i want to do a normalized cross-correlation as it is more exact and gives better results however i do not know how to do so

is there a function in Matlab that does normalized cross-correlations calculations for different lags and return the results ??

i have been searching for a while yet i could find any

i know the formula for calculating the normalized cross-correlations but hoped for a prepared method to use right a way instead of writting the method thank you so much

Answer 1

Check this, where x and y are two vector with length N.

if true
  Normalised_CrossCorr = (1/N)*sum((x-mean(x))*(y-mean(y)))/(sqrt(var(x)*var(y));
end