ishitaisha6840 asked . 2021-01-09

How to create a For Loop to Loop through all the rows in the matrix

%Normilisation time window width.half of the max period of the bandpass which is applied to the data prior to cross-correlation. (7Hz-40Hz)
N=0.07;
%Calculate the size of the signal to get number of columns and rows. n is number of rows and p is number of columns
[n,p] = size(signal);
%Calculate the normalised weights
count = 0
for j = 1:142 %Matrix indexing, each row representing 10 minutes
  count = count + 1;
  ten = 240000; %Number of columns
  %Divide signal into 142 rows and 240000 columns
  A(count,:) = signal(((j-1)*ten)+1:ten*j);

The above code runs just fine. It takes the signal that I have and divides it into 142 rows and 240000 columns. I now need to calculate the normalisation weight for each row. In the end, I want to have a matrix called weight with the size 142x1, each row should have the calculated weight of it's corresponding row from matrix A. The formula for calculating weight is:

weight =(1/((2*N)+1))*sum(abs(row)).

    for i = 1:142
      weight(i)=(1/((2*N)+1))*sum(abs(A)); %The A here should be the rows(row1,row2,...till row 142)
    end

matlab , matrix , simulink