verify_noise_characteristics.m

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%  *   Author: Eddy Scott <scott.edward@aurora.aero>
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%% Clean work environment
clear all
close all
clc
%% Compile and run the noise cpp program
system('g++ gaussian_noise.cpp -o generate_noise_csv');
mu_des = 0.0;
std_des = 0.02;
var_des = std_des^2;
num_samples = 10000;
num_runs = 100;
if exist('generated_noise.csv','file')
    system('rm generated_noise.csv')
end
system(sprintf('./generate_noise_csv %s %s %s %s',num2str(mu_des),num2str(var_des),num2str(num_runs),num2str(num_samples)))
%% Load the generated noise values
noise_vals = load('generated_noise.csv');
for i = 1:size(noise_vals,1);
    run_mean = mean(noise_vals(i,:));
    run_std = std(noise_vals(i,:));
    mean_array(i) = run_mean;
    std_array(i) = run_std;
end
%%%%% Display statisitcs of means generated
max_mean = max(mean_array);
min_mean = min(mean_array);
max_std = max(std_array);
min_std = min(std_array);

figure
hist(mean_array)
ylabel('Occurances')
xlabel('Mean Value')
title('Histogram of mean values')

figure
hist(std_array)
ylabel('Occurances')
xlabel('Std Value')
title('Histogram of std values')

table(min_mean, mu_des, max_mean, min_std, std_des, max_std)