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Autocorrelation Example in MatLab
%************************************************************
% Tim Hawkins
% 5/20/98
% AutoCorrelation of White Noise
% Loops are used in this program for easier portability to
% C or assembly code.
%
%************************************************************
% N = Length of Time Domain Signal
N = 512;
%************************************************************
% Create an index matrix for graphing:
%************************************************************
for n = 1: 1: N;
index(n) = n;
end
%************************************************************
% Create an expanded index matrix from -N to N for graphing:
%************************************************************
index_expanded = 1:(2*N - 1);
for n = 1: 1: (N - 1);
index_expanded(n) = -(index(N - n));
end
index_expanded(N) = 0;
for n = (N + 1): 1: (2*N - 1);
index_expanded(n) = index(n - N);
end
%************************************************************
% Generate the flat +- 0.1 white noise:
%************************************************************
w_2 = 1:N;
w_2 = 0.1*rand(1,N);
w_2 = w_2 - mean(w_2);
%************************************************************
% Compute 0.1 white noise Autocorrelation:
%************************************************************
r_xx_w_2 = 1:N;
for m = 1: 1: N;
F = 0;
for k = 1: 1: (N+1-m);
F = F + w_2(k)*w_2(k-1+m);
end
r_xx_w_2(m) = F/(N+1-m);
end
%************************************************************
% Create an expanded 0.1 white noise Autocorrelation Function
% from -N to N for graphing purposes:
%************************************************************
r_xx_w__expanded = 1:(2*N - 1);
for m = 1: 1: N;
r_xx_w_2_expanded(m) = r_xx_w_2(N - m + 1);
end
for m = N: 1: (2*N - 1);
r_xx_w_2_expanded(m) = r_xx_w_2(m + 1 - N);
end
%************************************************************
% Plot the Results
%************************************************************
figure
plot(index_expanded,r_xx_w_2_expanded)
title(['Auto Correlation Function of 0.1 w.n Input'])
%************************************************************

- Need a single board computer hardware platform for a senior project or a masters thesis?
- Need a single board computer hardware platform for DSP, Correlation processing, Robotics, Kalman Filtering, or Analog Interface work?
Try a High End PIC17C756/PIC18C658 Single-Board-Computer Module with a proto area that can be replaced.
We offer free support with Sample programs, Tutorials, and Design examples.