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Main topics for this course are Stochastic process, random variables, linear congruent generators, pdfs and cdfs, rejection method, metropolis methods, sampling techniques, random walks and genetic algorithm. This matlab code includes: Monte, Filter, First, Order, Random, Noise, Function, State, Initialize, Generator, Plot, Step, Size, Frame
Typology: Exercises
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% Program name: monte_filter.m % A program for a first order filter to remove the random noise % introduced by sensors and to find a smooth function tmax = 1; % Maximum time N = 1000; % Total number of time steps h = tmax/N; % Step size t(1) = 0; f(1)=0; p(1)=0; I(1) = f(1); rand('state',0) % to initialize the generator for i=2: N t(i) = t(i-1) + h; p(i)= exp(-200(t(i)-0.2)^2) + exp(-400(t(i)-0.4)^2)+ ... exp(-2000(t(i)-0.6)^2) + exp(-8500(t(i)-0.8)^2); f(i) = p(i) + 0.2rand; % random noise is introduced end for i=2: N I(i) = 0.9I(i-1) + 0.1*f(i); end for i=2: N subplot(2, 1, 1); plot(t(i), f(i), '.r','LineWidth',2) hold on axis([0 tmax 0 1.2]) subplot(2, 1, 2); plot(t(i), I(i),'.b','LineWidth',2) axis([0 tmax 0 1.2]) hold on m(i) = getframe; end xlabel('time, t') ylabel('I(i)') grid movie(m, 20)