The mask on the uniform generator has sample time and seed parameters.
- The uniform generator produces uint32 values.
- There is a different algorithm for 128bit numbers. http://www.math.sci.hiroshima-u.ac.jp/m-mat/MT/ARTICLES/sfmt.pdf
- One can try concatenate 4 of these with different seeds but the quality is not guaranteed.
- The normal generator produces N~(0,1) distribution using Box-Mueller. Due to log and multiplication with 2*pi, some precision loss occurs that may not be significant.
load_system('hdl_rng.slx');
% generate 10000 random integers
sim('hdl_rng.slx',10000);
% plot the histogram
subplot(1,2,1);
histogram(uniform_random_numbers,linspace(0,2^32,21));
title('Histogram of uniform random numbers');
subplot(1,2,2);
histogram(normal_random_numbers,linspace(-4,4,21));
title('Histogram of normal random numbers');
