Marsyas  0.6.0-alpha
/usr/src/RPM/BUILD/marsyas-0.6.0/src/marsyas/marsystems/MixToMono.cpp
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00001 /*
00002 ** Copyright (C) 2009 Stefaan Lippens
00003 **
00004 ** This program is free software; you can redistribute it and/or modify
00005 ** it under the terms of the GNU General Public License as published by
00006 ** the Free Software Foundation; either version 2 of the License, or
00007 ** (at your option) any later version.
00008 **
00009 ** This program is distributed in the hope that it will be useful,
00010 ** but WITHOUT ANY WARRANTY; without even the implied warranty of
00011 ** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
00012 ** GNU General Public License for more details.
00013 **
00014 ** You should have received a copy of the GNU General Public License
00015 ** along with this program; if not, write to the Free Software
00016 ** Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
00017 */
00018 
00019 #include "MixToMono.h"
00020 
00021 using std::ostringstream;
00022 using namespace Marsyas;
00023 
00024 MixToMono::MixToMono(mrs_string name) : MarSystem("MixToMono", name)
00025 {
00026   // Nothing special here, no controls to add.
00027 }
00028 
00029 MixToMono::MixToMono(const MixToMono& a) : MarSystem(a)
00030 {
00031   // Nothing special here, no explicit control reassigning.
00032 }
00033 
00034 
00035 MixToMono::~MixToMono()
00036 {
00037 }
00038 
00039 MarSystem*
00040 MixToMono::clone() const
00041 {
00042   return new MixToMono(*this);
00043 }
00044 
00045 
00046 void
00047 MixToMono::myUpdate(MarControlPtr sender)
00048 {
00049   // Start with the default MarSystem setup with equal input/output
00050   // stream format ...
00051   MarSystem::myUpdate(sender);
00052 
00054   ctrl_onObservations_->setValue(1, NOUPDATE);
00055 
00056   // Calculate the weight factor to use during averaging.
00057   weight_ = (inObservations_ > 0) ? (1.0 / inObservations_) : 1.0;
00058 }
00059 
00060 void
00061 MixToMono::myProcess(realvec& in, realvec& out)
00062 {
00063   mrs_natural t,o;
00064   // Average the observation channels per sample.
00065   for (t = 0; t < inSamples_; t++)
00066   {
00067     out(0, t) = 0;
00068     for (o = 0; o < inObservations_; o++)
00069     {
00070       out(0, t) += (weight_ * in(o, t));
00071     }
00072   }
00073 }