c@241: /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
c@241: 
c@241: /*
c@241:     QM DSP Library
c@241: 
c@241:     Centre for Digital Music, Queen Mary, University of London.
c@309:     This file 2005-2006 Christian Landone.
c@309: 
c@309:     This program is free software; you can redistribute it and/or
c@309:     modify it under the terms of the GNU General Public License as
c@309:     published by the Free Software Foundation; either version 2 of the
c@309:     License, or (at your option) any later version.  See the file
c@309:     COPYING included with this distribution for more information.
c@241: */
c@241: 
c@241: #include "MathUtilities.h"
c@241: 
c@241: #include <iostream>
c@241: #include <cmath>
c@241: 
c@241: 
c@241: double MathUtilities::mod(double x, double y)
c@241: {
c@241:     double a = floor( x / y );
c@241: 
c@241:     double b = x - ( y * a );
c@241:     return b;
c@241: }
c@241: 
c@241: double MathUtilities::princarg(double ang)
c@241: {
c@241:     double ValOut;
c@241: 
c@241:     ValOut = mod( ang + M_PI, -2 * M_PI ) + M_PI;
c@241: 
c@241:     return ValOut;
c@241: }
c@241: 
c@241: void MathUtilities::getAlphaNorm(const double *data, unsigned int len, unsigned int alpha, double* ANorm)
c@241: {
c@241:     unsigned int i;
c@241:     double temp = 0.0;
c@241:     double a=0.0;
c@241: 	
c@241:     for( i = 0; i < len; i++)
c@241:     {
c@241: 	temp = data[ i ];
c@241: 		
c@304: 	a  += ::pow( fabs(temp), double(alpha) );
c@241:     }
c@241:     a /= ( double )len;
c@241:     a = ::pow( a, ( 1.0 / (double) alpha ) );
c@241: 
c@241:     *ANorm = a;
c@241: }
c@241: 
c@241: double MathUtilities::getAlphaNorm( const std::vector <double> &data, unsigned int alpha )
c@241: {
c@241:     unsigned int i;
c@241:     unsigned int len = data.size();
c@241:     double temp = 0.0;
c@241:     double a=0.0;
c@241: 	
c@241:     for( i = 0; i < len; i++)
c@241:     {
c@241: 	temp = data[ i ];
c@241: 		
c@304: 	a  += ::pow( fabs(temp), double(alpha) );
c@241:     }
c@241:     a /= ( double )len;
c@241:     a = ::pow( a, ( 1.0 / (double) alpha ) );
c@241: 
c@241:     return a;
c@241: }
c@241: 
c@241: double MathUtilities::round(double x)
c@241: {
c@241:     double val = (double)floor(x + 0.5);
c@241:   
c@241:     return val;
c@241: }
c@241: 
c@241: double MathUtilities::median(const double *src, unsigned int len)
c@241: {
c@241:     unsigned int i, j;
c@241:     double tmp = 0.0;
c@241:     double tempMedian;
c@241:     double medianVal;
c@241:  
c@241:     double* scratch = new double[ len ];//Vector < double > sortedX = Vector < double > ( size );
c@241: 
c@241:     for ( i = 0; i < len; i++ )
c@241:     {
c@241: 	scratch[i] = src[i];
c@241:     }
c@241: 
c@241:     for ( i = 0; i < len - 1; i++ )
c@241:     {
c@241: 	for ( j = 0; j < len - 1 - i; j++ )
c@241: 	{
c@241: 	    if ( scratch[j + 1] < scratch[j] )
c@241: 	    {
c@241: 		// compare the two neighbors
c@241: 		tmp = scratch[j]; // swap a[j] and a[j+1]
c@241: 		scratch[j] = scratch[j + 1];
c@241: 		scratch[j + 1] = tmp;
c@241: 	    }
c@241: 	}
c@241:     }
c@241:     int middle;
c@241:     if ( len % 2 == 0 )
c@241:     {
c@241: 	middle = len / 2;
c@241: 	tempMedian = ( scratch[middle] + scratch[middle - 1] ) / 2;
c@241:     }
c@241:     else
c@241:     {
c@241: 	middle = ( int )floor( len / 2.0 );
c@241: 	tempMedian = scratch[middle];
c@241:     }
c@241: 
c@241:     medianVal = tempMedian;
c@241: 
c@241:     delete [] scratch;
c@241:     return medianVal;
c@241: }
c@241: 
c@241: double MathUtilities::sum(const double *src, unsigned int len)
c@241: {
c@241:     unsigned int i ;
c@241:     double retVal =0.0;
c@241: 
c@241:     for(  i = 0; i < len; i++)
c@241:     {
c@241: 	retVal += src[ i ];
c@241:     }
c@241: 
c@241:     return retVal;
c@241: }
c@241: 
c@241: double MathUtilities::mean(const double *src, unsigned int len)
c@241: {
c@241:     double retVal =0.0;
c@241: 
c@241:     double s = sum( src, len );
c@241: 	
c@241:     retVal =  s  / (double)len;
c@241: 
c@241:     return retVal;
c@241: }
c@241: 
c@279: double MathUtilities::mean(const std::vector<double> &src,
c@279:                            unsigned int start,
c@279:                            unsigned int count)
c@279: {
c@279:     double sum = 0.;
c@279: 	
c@279:     for (int i = 0; i < count; ++i)
c@279:     {
c@279:         sum += src[start + i];
c@279:     }
c@279: 
c@279:     return sum / count;
c@279: }
c@279: 
c@241: void MathUtilities::getFrameMinMax(const double *data, unsigned int len, double *min, double *max)
c@241: {
c@241:     unsigned int i;
c@241:     double temp = 0.0;
c@241:     double a=0.0;
c@283: 
c@283:     if (len == 0) {
c@283:         *min = *max = 0;
c@283:         return;
c@283:     }
c@241: 	
c@241:     *min = data[0];
c@241:     *max = data[0];
c@241: 
c@241:     for( i = 0; i < len; i++)
c@241:     {
c@241: 	temp = data[ i ];
c@241: 
c@241: 	if( temp < *min )
c@241: 	{
c@241: 	    *min =  temp ;
c@241: 	}
c@241: 	if( temp > *max )
c@241: 	{
c@241: 	    *max =  temp ;
c@241: 	}
c@241: 		
c@241:     }
c@241: }
c@241: 
c@241: int MathUtilities::getMax( double* pData, unsigned int Length, double* pMax )
c@241: {
c@241: 	unsigned int index = 0;
c@241: 	unsigned int i;
c@241: 	double temp = 0.0;
c@241: 	
c@241: 	double max = pData[0];
c@241: 
c@241: 	for( i = 0; i < Length; i++)
c@241: 	{
c@241: 		temp = pData[ i ];
c@241: 
c@241: 		if( temp > max )
c@241: 		{
c@241: 			max =  temp ;
c@241: 			index = i;
c@241: 		}
c@241: 		
c@241:    	}
c@241: 
c@279: 	if (pMax) *pMax = max;
c@279: 
c@279: 
c@279: 	return index;
c@279: }
c@279: 
c@279: int MathUtilities::getMax( const std::vector<double> & data, double* pMax )
c@279: {
c@279: 	unsigned int index = 0;
c@279: 	unsigned int i;
c@279: 	double temp = 0.0;
c@279: 	
c@279: 	double max = data[0];
c@279: 
c@279: 	for( i = 0; i < data.size(); i++)
c@279: 	{
c@279: 		temp = data[ i ];
c@279: 
c@279: 		if( temp > max )
c@279: 		{
c@279: 			max =  temp ;
c@279: 			index = i;
c@279: 		}
c@279: 		
c@279:    	}
c@279: 
c@279: 	if (pMax) *pMax = max;
c@241: 
c@241: 
c@241: 	return index;
c@241: }
c@241: 
c@241: void MathUtilities::circShift( double* pData, int length, int shift)
c@241: {
c@241: 	shift = shift % length;
c@241: 	double temp;
c@241: 	int i,n;
c@241: 
c@241: 	for( i = 0; i < shift; i++)
c@241: 	{
c@241: 		temp=*(pData + length - 1);
c@241: 
c@241: 		for( n = length-2; n >= 0; n--)
c@241: 		{
c@241: 			*(pData+n+1)=*(pData+n);
c@241: 		}
c@241: 
c@241:         *pData = temp;
c@241:     }
c@241: }
c@241: 
c@241: int MathUtilities::compareInt (const void * a, const void * b)
c@241: {
c@241:   return ( *(int*)a - *(int*)b );
c@241: }
c@241: 
c@259: void MathUtilities::normalise(double *data, int length, NormaliseType type)
c@259: {
c@259:     switch (type) {
c@259: 
c@259:     case NormaliseNone: return;
c@259: 
c@259:     case NormaliseUnitSum:
c@259:     {
c@259:         double sum = 0.0;
c@259:         for (int i = 0; i < length; ++i) {
c@259:             sum += data[i];
c@259:         }
c@259:         if (sum != 0.0) {
c@259:             for (int i = 0; i < length; ++i) {
c@259:                 data[i] /= sum;
c@259:             }
c@259:         }
c@259:     }
c@259:     break;
c@259: 
c@259:     case NormaliseUnitMax:
c@259:     {
c@259:         double max = 0.0;
c@259:         for (int i = 0; i < length; ++i) {
c@259:             if (fabs(data[i]) > max) {
c@259:                 max = fabs(data[i]);
c@259:             }
c@259:         }
c@259:         if (max != 0.0) {
c@259:             for (int i = 0; i < length; ++i) {
c@259:                 data[i] /= max;
c@259:             }
c@259:         }
c@259:     }
c@259:     break;
c@259: 
c@259:     }
c@259: }
c@259: 
c@259: void MathUtilities::normalise(std::vector<double> &data, NormaliseType type)
c@259: {
c@259:     switch (type) {
c@259: 
c@259:     case NormaliseNone: return;
c@259: 
c@259:     case NormaliseUnitSum:
c@259:     {
c@259:         double sum = 0.0;
c@259:         for (int i = 0; i < data.size(); ++i) sum += data[i];
c@259:         if (sum != 0.0) {
c@259:             for (int i = 0; i < data.size(); ++i) data[i] /= sum;
c@259:         }
c@259:     }
c@259:     break;
c@259: 
c@259:     case NormaliseUnitMax:
c@259:     {
c@259:         double max = 0.0;
c@259:         for (int i = 0; i < data.size(); ++i) {
c@259:             if (fabs(data[i]) > max) max = fabs(data[i]);
c@259:         }
c@259:         if (max != 0.0) {
c@259:             for (int i = 0; i < data.size(); ++i) data[i] /= max;
c@259:         }
c@259:     }
c@259:     break;
c@259: 
c@259:     }
c@259: }
c@259: 
c@279: void MathUtilities::adaptiveThreshold(std::vector<double> &data)
c@279: {
c@279:     int sz = int(data.size());
c@279:     if (sz == 0) return;
c@279: 
c@279:     std::vector<double> smoothed(sz);
c@279: 	
c@279:     int p_pre = 8;
c@279:     int p_post = 7;
c@279: 
c@279:     for (int i = 0; i < sz; ++i) {
c@279: 
c@279:         int first = std::max(0,      i - p_pre);
c@279:         int last  = std::min(sz - 1, i + p_post);
c@279: 
c@279:         smoothed[i] = mean(data, first, last - first + 1);
c@279:     }
c@279: 
c@279:     for (int i = 0; i < sz; i++) {
c@279:         data[i] -= smoothed[i];
c@279:         if (data[i] < 0.0) data[i] = 0.0;
c@279:     }
c@279: }
c@259: 
c@280: bool
c@280: MathUtilities::isPowerOfTwo(int x)
c@280: {
c@280:     if (x < 2) return false;
c@280:     if (x & (x-1)) return false;
c@280:     return true;
c@280: }
c@280: 
c@280: int
c@280: MathUtilities::nextPowerOfTwo(int x)
c@280: {
c@280:     if (isPowerOfTwo(x)) return x;
c@280:     int n = 1;
c@280:     while (x) { x >>= 1; n <<= 1; }
c@280:     return n;
c@280: }
c@280: 
c@280: int
c@280: MathUtilities::previousPowerOfTwo(int x)
c@280: {
c@280:     if (isPowerOfTwo(x)) return x;
c@280:     int n = 1;
c@280:     x >>= 1;
c@280:     while (x) { x >>= 1; n <<= 1; }
c@280:     return n;
c@280: }
c@280: 
c@280: int
c@280: MathUtilities::nearestPowerOfTwo(int x)
c@280: {
c@280:     if (isPowerOfTwo(x)) return x;
c@280:     int n0 = previousPowerOfTwo(x), n1 = nearestPowerOfTwo(x);
c@280:     if (x - n0 < n1 - x) return n0;
c@280:     else return n1;
c@280: }
c@280: