Using Matlab to splitting data into odd and even samples.

A for loop approach:

data_odd  = [];
data_even = [];
for i = 1:length(data)
  if mod(i,2)
    %% disp('odd')
    data_odd = [data_odd, data(i)]
    %% disp('even')
    data_even = [data_even, data(i)]

Matlab approach using ranges to remap values:

data_odd =data(1:2:end);

Ranges are composed of start_index:step_size:end_index. If step_size is omitted, 1 is assumed.

end has a special meaning when used inside an array, it is the position of the last element. To append to an array you could use data(end+1) = append_value

No error or warning is triggered if the end_index can not be reached with the given step size, which is why this works with end as the stop point of both sides.


a   = [1, 2, 3, 4, 5];
odd = a(1:2:end)
even= a(2:2:end)

odd =
     1     3     5

even =
     2     4