Marsyas
0.6.0-alpha
|
00001 /* 00002 ** Copyright (C) 1998-2006 George Tzanetakis <gtzan@cs.uvic.ca> 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 "Norm.h" 00020 00021 using std::ostringstream; 00022 using namespace Marsyas; 00023 00024 Norm::Norm(mrs_string name):MarSystem("Norm",name) 00025 { 00026 } 00027 00028 Norm::~Norm() 00029 { 00030 } 00031 00032 MarSystem* 00033 Norm::clone() const 00034 { 00035 return new Norm(*this); 00036 } 00037 00038 void 00039 Norm::myProcess(realvec& in, realvec& out) 00040 { 00041 realvec row(inSamples_); 00042 mrs_real mean; 00043 mrs_real std; 00044 mrs_natural t,o; 00045 00046 for (o=0; o < inObservations_; o++) 00047 { 00048 // Calculate the mean and standard deviation of each row aka observation. 00049 for (t = 0; t < inSamples_; t++) 00050 { 00051 row(t) = in(o,t); 00052 } 00053 mean = row.mean(); 00054 std = row.std(); 00055 // If standard deviation is zero, the input is constant, so 00056 // subtracting the mean will give zero output and we can just 00057 // set the standard deviation to 1.0 to avoid zero division woes. 00058 if (std == 0.0) 00059 { 00060 std = 1.0; 00061 } 00062 00063 for (t = 0; t < inSamples_; t++) 00064 { 00065 out(o, t) = (in(o, t) - mean) / std; 00066 } 00067 } 00068 }