Auto correlation matlab code | Cross correlation matlab code
This page covers Auto correlation matlab code and Cross correlation matlab code with and without using matlab inbuilt xcorr function.
Correlation determines how much two signals or vectors are similar or different in phase and magnitude. There are two types auto correlation and cross correlation. correlation is maximum when two signals are similar. correlation is equivalent to multiplying the complex conjugate of frequency spectrum of one signal by the frequency spectrum of the other.
In auto correlation same signal is correlated to itself or with shifted version of it. In cross correlation two different time series signals are correlated. The example below is for cross correlation. If one set both in1 and in2 as same vectors ( or append zeros initially in one) then it becomes auto correlation.
correlation output z[n] = ∑X[k] * Y[n+k]
Setting up input parameters
in2=[9 11 12 13 4 5 16 17 18 19];
Cross correlation matlab code without using inbuilt function (xcorr)
Following matlab script is for cross correlation without using inbuilt function such as xcorr.
pad = length(in1)-length(in2);
in2 = [in2 zeros(1,pad)];
pad = length(in2)-length(in1);
in1 = [in1 zeros(1,pad)];
out_len = length(in1);
out = zeros(1,out_len);
tmp = in2;
for k = 1:out_len
out(k) = in1*tmp';
tmp = [0 tmp(1:end-1)];
[m,n]=max(out) % max value in the correlation and its index
Cross correlation matlab code using xcorr
Following matlab script is for cross correlation matlab code using 'xcorr' function.
z=y(index:1:end); %extacting one side of the result
figure;plot(z);title('MATLAB xcorr function OUTPUT'); % output plot as per matlab function
[m1,n1]=max(z) % max value in the correlation and its index
OUTPUT Plots of Cross correlation in MATLAB
Useful Links to MATLAB codes
Refer following as well as links mentioned on left side panel for useful MATLAB codes.
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