One of many ways:
If the spacing between elements in your d vector is 1 msec, then you can reshape the data vector into a matrix with columns equal to 1000 rows and take the average of the columns.
Of course, if the vector does not reshape evenly in equal-length columns, you have to think about what to do at the end.
Assume two seconds of data:
x = randn(2000,1);
x1 = reshape(x,1000,2);
mean(x1)
Another possibility is to create a simple function to do it and call that function from the command line. You have to save the function as nway.m in a folder that is on your MATLAB path.
function B = nway(A,n)
% Compute average of every N elements of A and put them in B.
if ((mod(numel(A),n) == 0) && (n>=1 && n<=numel(A)))
B = ones(1,numel(A)/n);
k = 1;
for i = 1 : numel(A)/n
B(i) = mean(A(k + (0:n-1)));
k = k + n;
end
else
error('n <= 0 or does not divide number of elements evenly');
end
then,
>>meanz = nway(x,1000);
gives you the same result that I showed above.
