/home/marsyas/marsyas/src/marsyas/Rolloff.cpp

/*
** Copyright (C) 1998-2006 George Tzanetakis <gtzan@cs.uvic.ca>
**  
** This program is free software; you can redistribute it and/or modify
** it under the terms of the GNU General Public License as published by
** the Free Software Foundation; either version 2 of the License, or
** (at your option) any later version.
** 
** This program is distributed in the hope that it will be useful,
** but WITHOUT ANY WARRANTY; without even the implied warranty of
** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
** GNU General Public License for more details.
** 
** You should have received a copy of the GNU General Public License
** along with this program; if not, write to the Free Software 
** Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/

#include "Rolloff.h"

using namespace std;
using namespace Marsyas;

Rolloff::Rolloff(mrs_string name):MarSystem("Rolloff",name)
{
    perc_ = 0.0;
    sum_ = 0.0;
    total_ = 0.0;

    addControls();
}

Rolloff::Rolloff(const Rolloff& a):MarSystem(a) 
{
    ctrl_percentage_ = getctrl("mrs_real/percentage");
}

Rolloff::~Rolloff()
{
}

MarSystem* 
Rolloff::clone() const 
{
    return new Rolloff(*this);
}

void 
Rolloff::addControls()
{
    addctrl("mrs_real/percentage", 0.9, ctrl_percentage_);
    setctrlState("mrs_real/percentage", true);
}

void
Rolloff::myUpdate(MarControlPtr sender)
{
    (void) sender;
    MRSDIAG("Rolloff.cpp - Rolloff:myUpdate");

    ctrl_onSamples_->setValue(ctrl_inSamples_, NOUPDATE);
    ctrl_onObservations_->setValue((mrs_natural)1, NOUPDATE);
    ctrl_osrate_->setValue(ctrl_israte_, NOUPDATE);
    ctrl_onObsNames_->setValue("Rolloff_" + ctrl_inObsNames_->to<mrs_string>() , NOUPDATE);

    sumWindow_.create(ctrl_inObservations_->to<mrs_natural>());

    perc_ = ctrl_percentage_->to<mrs_real>();
}

void 
Rolloff::myProcess(realvec& in, realvec& out)
{
    mrs_natural o,t;
    // computer rolloff of observations for each time sample 
    for (t = 0; t < inSamples_; t++)
    {
        sum_ = 0.0;
        sumWindow_.setval(0.0);
        for (o=0; o < inObservations_; o++)
        {
            sum_ += in(o,t);
            sumWindow_(o) = sum_;
        }
        total_ = sumWindow_(inObservations_-1);
        for (o=inObservations_-1; o>1; o--)
        {
            if (sumWindow_(o) < perc_ *total_)
            {
                out(0,t) = (mrs_real)o / inObservations_;
                return;
            }
        }
        out(0,t) = 1.0;         // default 
    }
}

---