Compute Autocorrelation of Input Matrix

This example shows how to compute autocorrelation of a 5-by-5 input matrix using the 2-D Autocorrelation block.

The output of the model is a 9-by-9 matrix consisting of autocorrelation coefficients.

The coefficient values shows the similarity between the input matrix and its shifted form. The value of the autocorrelation coefficient at a point (i, j) is high, if the values in the original matrix and the shifted matrix are similar.

model = 'ex_blkautocorrelation.slx';
open_system(model)

Run the model and export the computed autocorrelation coefficients to MATLAB workspace. Display the coefficients using disp function.

out = sim(model);
disp(out.val)

     0     0     0     0     0     0     0     0     0
     1     0     1     0     1     0     0     0     0
     2     2     2     2     2     1     0     0     0
     2     3     4     5     6     3     2     1     1
     2     2     5     5    11     5     5     2     2
     1     1     2     3     6     5     4     3     2
     0     0     0     1     2     2     2     2     2
     0     0     0     0     1     0     1     0     1
     0     0     0     0     0     0     0     0     0