% MATLAB script that generates the probability of error versus the signal to noise ratioinitial_snr=0;final_snr=15;snr_step=1;			tolerance=1e-7;			   	% Tolerance used for the integrationminus_inf=-20;			   	% This is practically -infinityplus_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)=Qfunct(sqrt(snr));   Pe_4(i)=(2/3)*quad8('bdt_int',minus_inf,plus_inf,tolerance,[],snr,4);   Pe_8(i)=(4/7)*quad8('bdt_int',minus_inf,plus_inf,tolerance,[],snr,8);   Pe_16(i)=(8/15)*quad8('bdt_int',minus_inf,plus_inf,tolerance,[],snr,16);   Pe_32(i)=(16/31)*quad8('bdt_int',minus_inf,plus_inf,tolerance,[],snr,32);   Pe_64(i)=(32/63)*quad8('bdt_int',minus_inf,plus_inf,tolerance,[],snr,64);   echo off;end;% Plotting commands follow