I would like to use a Butterworth filter on a 1D-Signal. In Matlab the script would look like this:
f=100;
f_cutoff = 20;
fnorm =f_cutoff/(f/2);
[b,a] = but
I found my mistake. Here's the working code (as a function):
function filtered = myFilter(b, a, raw)
filtered = zeros(size(raw));
for c = 1:3
for n = 9:size(raw,1)
filtered(n,c) = b(1)* raw(n,c) + b(2)* raw(n-1,c) + b(3)* raw(n-2,c) ...
+ b(4)* raw(n-3,c) + b(5)* raw(n-4,c) + b(6)* raw(n-5,c) ...
+ b(7)* raw(n-6,c) + b(8)* raw(n-7,c) + b(9)* raw(n-8,c) ...
- a(1)*filtered(n,c) - a(2)*filtered(n-1,c) - a(3)*filtered(n-2,c) ...
- a(4)*filtered(n-3,c) - a(5)*filtered(n-4,c) - a(6)*filtered(n-5,c) ...
- a(7)*filtered(n-6,c) - a(8)*filtered(n-7,c) - a(9)*filtered(n-8,c);
end
end
Now the filter works nearly fine, but at the first 40 values i've got divergent results. I'll have to figure that out...