function [p]=smldPe55(snr_in_dB)

E=1;
SNR=exp(snr_in_dB*log(10)/10);	   	% signal to noise ratio
sgma=E/sqrt(2*SNR);		   	% sigma, standard deviation of noise
N=10000;
% generation of the binary data source follows
for i=1:N,
   temp=rand;   	      		% a uniform random variable over (0,1)
   if (temp<0.5),
      dsource(i)=0;   	      		% with probability 1/2, source output is 0
   else
      dsource(i)=1;	      		% with probability 1/2, source output is 1
   end
end;
% the detection, and probability of error calculation follows
numoferr=0;
for i=1:N,
   % The matched filter outputs
   if (dsource(i)==0),
      r=-E+gngauss(sgma);      		% if the source output is "0"
   else
      r=E+gngauss(sgma);     		% if the source output is "1"
   end;
   % detector follows
   if (r<0),
      decis=0;		      		% decision is "0" 
   else
      decis=1;		      		% decision is "1" 
   end;
   if (decis~=dsource(i)),    		% if it is an error, increase the error counter
      numoferr=numoferr+1;
   end;
end;
p=numoferr/N;	  	      		% probability of error estimate