I am going through a program with zero comments. This is a signal filter, and I would like to know which type this is So far I have this: arrays (lengths = order):
- X: contains previous filter input values
- Y: contains previous filter output values
- A: contains coeficients
- B: contains coeficients
Filter steps:
- formula roughly: OUT = SUM(i=0 to order)( X[i]*B[i] - Y[i]*A[i]) 
- shifting the window: all X's and Y's move one position, removing the oldest values and the new input and output value are added. 
I tried googling which kind of filter this is, but I am a bit stuck, especially the feedback of the previous outputs is something I did not see before (I only used very very simple filters before).
source:
`float_type floatFilter::addPoint(float_type P)
{
    //P is sample value`
    if (_pfilterCoefs == NULL) return P;
    //
    if (_reset)
    {
        for (uint16_t i=0;i<_pfilterCoefs->order;i++)
        {
            *(_Ys+i)= _pfilterCoefs->lowpass ? P : 0;
            *(_Xs+i)= _pfilterCoefs->lowpass ? P : 0;
        }
        _reset=false;
    }
    //calculate output
    float_type Y = ((*_pfilterCoefs->Bs)) * P;
    for (uint16_t i=0; i<_pfilterCoefs->order; i++)
    {
        Y+=(*(_Xs+i)) *  (*(_pfilterCoefs->Bs + (_pfilterCoefs->order-i))) -
           (*(_Ys+i)) *  (*(_pfilterCoefs->As + (_pfilterCoefs->order-1-i)));
    }
    //move filter one step (
    for (uint16_t i = 0; i<(_pfilterCoefs->order-1);i++)
    {
        *(_Ys+i)=*(_Ys+i+1);
        *(_Xs+i)=*(_Xs+i+1);
    }
    *(_Xs + _pfilterCoefs->order - 1) = P; //the most recent input is added in the end
    *(_Ys + _pfilterCoefs->order - 1) = Y; //the most recent output is added in the end
    return *(_Ys + _pfilterCoefs->order-1); //this is the most recent output.
