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)]
else
%% disp('even')
data_even = [data_even, data(i)]
end
end
```

Matlab approach using ranges to remap values:

```
data_odd =data(1:2:end);
data_even=data(2:2: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.

## Example

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