📄 smldpe55.m
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function [p]=smldPe55(snr_in_dB)
% [p]=smldPe55(snr_in_dB)
% SMLDPE55 simulates the probability of error for the particular
% value of snr_in_dB, signal-to-noise ratio 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
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