Marsyas
0.6.0-alpha
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00001 /* 00002 ** Copyright (C) 2010 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 "SubtractMean.h" 00020 #include "../common_source.h" 00021 00022 using namespace std; 00023 using namespace Marsyas; 00024 00025 SubtractMean::SubtractMean(mrs_string name) : 00026 MarSystem("SubtractMean", name) 00027 { 00028 // No controls to add 00029 } 00030 00031 SubtractMean::SubtractMean(const SubtractMean& a) : 00032 MarSystem(a) 00033 { 00034 // No controls to add 00035 } 00036 00037 SubtractMean::~SubtractMean() 00038 { 00039 } 00040 00041 MarSystem* 00042 SubtractMean::clone() const 00043 { 00044 return new SubtractMean(*this); 00045 } 00046 00047 void SubtractMean::myUpdate(MarControlPtr sender) 00048 { 00049 MRSDIAG("SubtractMean.cpp - SubtractMean:myUpdate"); 00050 00052 MarSystem::myUpdate(sender); 00053 } 00054 00055 void SubtractMean::myProcess(realvec& in, realvec& out) 00056 { 00057 mrs_natural t,o; 00058 mrs_real mean; 00060 for (o = 0; o < inObservations_; o++) 00061 { 00062 // Calculate channel mean 00063 mean = 0; 00064 for (t = 0; t < inSamples_; t++) 00065 { 00066 mean += in(o, t); 00067 } 00068 mean /= inSamples_; 00069 // Subtract mean 00070 for (t = 0; t < inSamples_; t++) 00071 { 00072 out(o, t) = in(o, t) - mean; 00073 } 00074 } 00075 }