Marsyas
0.6.0-alpha
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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 }