% MATLAB script that generates the probability of error versus the signal to noise ratio.initial_snr=0;final_snr=12;snr_step=0.75;			tolerance=eps;			   	% Tolerance used for the integrationplus_inf=20;			   	% This is practically infinitysnr_in_dB=initial_snr:snr_step:final_snr;for i=1:length(snr_in_dB),   snr=10^(snr_in_dB(i)/10);   Pe_2(i)=1-quad8('bdt_int2',0,plus_inf,tolerance,[],snr,2);   Pe_4(i)=1-quad8('bdt_int2',0,plus_inf,tolerance,[],snr,4);   Pe_8(i)=1-quad8('bdt_int2',0,plus_inf,tolerance,[],snr,8);   Pe_16(i)=1-quad8('bdt_int2',0,plus_inf,tolerance,[],snr,16);   Pe_32(i)=1-quad8('bdt_int2',0,plus_inf,tolerance,[],snr,32);   echo off;end;% Plotting commands follow