vectorise the for loop below to find the xor

Hi,

I have the following piece of code which due to the for loop takes very long to execute. As the number of loops increase it is quite critical for me that the code take as less time as possible for execution.

     for i=1:10
       source_data(i,:)=rand(1,20)<.8;
     end 

    for i=1:15
       G(:,i)=rand(10,1)<.9;
    end

    z=1;
while(i<=15) 
for j=1:10
    if(G(j,i)==1)
       intersum(z+1,:)=xor(intersum(z,:), source_data(j,:));
        z=z+1;
    end
end
C(i,:)=intersum(z,:);
i=i+1;
end

Any suggestions is quite helpful. I am using an older version of Matlab 7.6

Thanks, Bhavya

Answer 1

[Sean de Wolski]

the first two for-loops can be easily vectorized with

source_data = rand(10,20)<0.8;
G = rand(10,15)<0.9;

I'm sure the last two can be vectorized as well but I don't have time to look at it right now.