function output=trans_equation(data_in,data_train,C,K1,K2)%轉入訓練模式
%取出數據
len=length(data_train);
N=K1+K2+1;
data(:,1)=[data_in(K1+1:-1:1);data_train(len-K2+1:-1:len)];
data_estimation(1)= data(:,t).'*C;
data_decision(1)=decision(data_estimation(t));
for t=2:K2
    
    data(:,t)=[data_in(K1+t:-1:t);data_train(len-K2+t:-1:len);data_decision()]
end
for t=1:K2
    data_estimation(t)= data(:,t).'*C;
    data_decision(t)=decision(data_estimation(t));
end
Num=length(data_in)-K2;
Y=zeros(N,Num);
for t=(K2+1):Num
     for n=1:K1+1
        Y(n,t)=data_in(t+K1-n+1);
     end;
     for n=(K1+2):(K1+K2+1)
        Y(n,t)=data_decision(t+K1-n+1);
     end 
     data_estimation(t)=C.'*Y(:,t);
     data_decision(t)=decision(data_estimation(t));
end
scatterplot(data_estimation(50:length(data_estimation)))