Algorithm 3 Simulation Algorithm Using Random Function (Matlab)

pos=zeros(1000,46); % class +

neg=zeros(1000,46); % class –

Aa=zeros(1000,46); % class Aa

i=1;

Thd=20;

while i < 1001

b=aleat(0.02,0.5); % parameter b

Cqp=aleat(10,40); % Cq for +

Cqn=aleat(41,100); % Cq for –

Ap=aleat(40,2000); % parameter Ap

j=1;

Cmp=((log((Ap/Thd)-1))/b)+Cqp;

Cmn=((log((Ap/Thd)-1))/b)+Cqn;

while j < 47

pos(i,j)=(Ap./(1+exp(-b. * (j-Cmp))))+(Thd * rand()/3);

neg(i,j)=(Ap./(1+exp(-b. * (j-Cmn))))+(Thd * rand()/3);

if j<5

Aa(i,j)= aleat(Thd,Ap);

else

Aa(i,j)= aleat(10 * Thd,2 * Ap);

end

j=j+1;

end

% data smoothing

Aa(i,:)=(Aa(i,:)+((circshift(Aa(i,:)′,1)′))+((circshift(Aa(i,:)′,2)′))+((circshift(Aa(i,:)′,3)′)))./4;

Aa(i,:)=(Aa(i,:)+((circshift(Aa(i,:)′,1)′))+((circshift(Aa(i,:)′,2)′))+((circshift(Aa(i,:)′,3)′)))./4;

% offset referring to the initial intensity

Aa(i,:)=Aa(i,:)-mean(Aa(i,1:4));

i=i+1;

end

Xa=[pos; neg; Aa]