On Saturday, November 2, 2013 8:37:09 AM UTC-4, Bruno Luong wrote: > email@example.com wrote in message <firstname.lastname@example.org>... > > > Say I have a 1000x10 matrix. The top of the matrix contains noisy data that I want to cut out. From column one I'd like to remove 10 values, from column 2, 15 values, from column 3, 8 values etc. After each column is reduced, I will keep the next 500 entries. So the end matrix will be 500x10. Right now I am doing it one column at a time which I have to put back together. Very tedious. > > > > % Dummy data for test > > A=rand(1000,10); > > idxstart=[10 15 8 7 29 14 1 72 4 4]; % index of the start row for each column > > > > [m n]=size(A); > > B = A(bsxfun(@plus, (0:n-1)*m + idxstart, (0:499)')); > > > > % Bruno
I have no idea what you are doing but it works! In case some may wonder where the application is, each column is a signal tract where the lead values are noise and need to be cut out. The problem is that the lead in segment has variable length, hence the question.