% EE 438 Digital Signal Processing with Applications % Random Signals % file: random_signals_3.m % Computing a Histogram %--------------------------------------------------------------- % Initialize clear all; close all; %--------------------------------------------------------------- % Parameters N = 10^5 % sample size delta = 0.2 % bin width %--------------------------------------------------------------- n = 1:1:N; x = randn(1,N); b = -4:delta:4; hist(x,b) tstrng=sprintf('Histogram for %5.2e i.i.d N(0,1) r.v. with DELTA = %5.2f',N,delta) title(tstrng) xlabel('x') ylabel('N*f_X(x)')