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globalFunction.cpp
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260 lines (216 loc) · 6.27 KB
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#include "globalFunction.h"
void saveWaveFile(std::string wavPathToFile, PCMWavData obj)
{
}
PCMWavData loadWaveFile(std::string wavPath) {
char chunk_id[5];
char chunk_wav[5];
char chunk_fmt[5];
char chunk_data[5];
unsigned long size;
int format_tag;
short channels;
short audio_format;
short block_align;
int byte_rate;
int sample_rate;
short bits_per_sample;
int subchunk_size; // number of frames in audio * 2
std::ifstream fin(wavPath, std::ios::in | std::ios::binary);
if(!fin)
{
//std::cout<<"blad pliku"<<std::endl;
}
fin.read((char*) &chunk_id[0], sizeof(char));
fin.read((char*) &chunk_id[1], sizeof(char));
fin.read((char*) &chunk_id[2], sizeof(char));
fin.read((char*) &chunk_id[3], sizeof(char));
chunk_id[4]='\0';
fin.read((char*) &size, sizeof(unsigned long));
fin.read((char*) &chunk_wav[0], sizeof(char));
fin.read((char*) &chunk_wav[1], sizeof(char));
fin.read((char*) &chunk_wav[2], sizeof(char));
fin.read((char*) &chunk_wav[3], sizeof(char));
chunk_wav[4]='\0';
fin.read((char*) &chunk_fmt[0], sizeof(char));
fin.read((char*) &chunk_fmt[1], sizeof(char));
fin.read((char*) &chunk_fmt[2], sizeof(char));
fin.read((char*) &chunk_fmt[3], sizeof(char));
chunk_fmt[4]='\0';
fin.read((char*) &format_tag, sizeof(int));
fin.read((char*) &audio_format, sizeof(short));
fin.read((char*) &channels, sizeof(short));
fin.read((char*) &sample_rate, sizeof(int));
fin.read((char*) &byte_rate, sizeof(int));
fin.read((char*) &block_align, sizeof(short));
fin.read((char*) &bits_per_sample, sizeof(short));
fin.read((char*) &chunk_data[0], sizeof(char));
fin.read((char*) &chunk_data[1], sizeof(char));
fin.read((char*) &chunk_data[2], sizeof(char));
fin.read((char*) &chunk_data[3], sizeof(char));
chunk_data[4]='\0';
fin.read((char*) &subchunk_size, sizeof(int));
int ilosc_probek = subchunk_size/2;
short tmp;
std::vector<short> muzyka(ilosc_probek);
int index=0;
for(int jj=0; jj<ilosc_probek; jj++)
{
fin.read((char*) &tmp, sizeof(short));
muzyka[index] = tmp;
index++;
}
fin.close();
PCMWavData objWav(chunk_id, chunk_wav, chunk_fmt, chunk_data, size, format_tag, channels, audio_format, block_align, byte_rate, sample_rate, bits_per_sample, subchunk_size, muzyka);
return objWav;
}
/// <summary>
/// Framing and windowing function.
/// </summary>
/// <param name="window_size">Window size - milisekunds</param>
/// <param name="over_lap">Overlap window - milisekunds</param>
/// <param name="data">PCM data</param>
/// <param name="size_data">number of samples</param>
/// <param name="sampleRate">sampling frequency</param>
/// <returns>std::vector< std::vector<short> > return vector with shape: number of frames in window x number of windows</returns>
std::vector< std::vector<double> > framing(int window_size, PCMWavData objWav)
{
/// przelicz window_size na liczbe probek
int getSampleRate = objWav.getSampleRate();
int liczbaProbekWindow_size = (getSampleRate * window_size * 0.001);
long subChunk = objWav.getSubchunkSize();
int liczbaOkienek = subChunk/liczbaProbekWindow_size;
//std::vector< std::vector<double> > data_framed(liczbaProbekWindow_size, std::vector<double>(liczbaOkienek));
std::vector< std::vector<double> > data_framed(liczbaOkienek, std::vector<double>(liczbaProbekWindow_size));
std::vector<short> dane = objWav.getVectorDane();
int okienko = 0;
int licznik = 0;
for(int i=liczbaProbekWindow_size; i<subChunk; i=i+liczbaProbekWindow_size)
{
for(int j=0; j<liczbaProbekWindow_size; j++)
{
data_framed[okienko][j] = dane[licznik];
licznik++;
}
okienko++;
}
int uuu= 0 ;
return data_framed;
}
/// <summary>
/// Function implements number Gilbert Model
/// </summary>
/// <param name="PLR">probability of loss %</param>
/// <param name="MBLL">Mean Burst Lost Length</param>
/// <param name="liczbaOkien">number of frames in audio</param>
/// <returns> vector 0 - packet delivered,
/// 1 - packet loss</returns>
std::vector<short> gilbertModel(int PLR, int MBLL, int liczbaOkien)
{
double b = 1.0 -double (1.0/MBLL);
double Pz = (double)PLR/100.0;
double Pdz = 1.0 - ((1.0 - (double)b)/(1.0 - (double)Pz)) * (double)Pz;
//double Pdz = (double)Pz/(double)((double)MBLL*(1.0-(double)Pz));
std::vector<short> wynik(liczbaOkien);
// start model with true state (packet delivered)
wynik[0] = 0;
std::random_device rd;
std::mt19937 gen(rd());
std::uniform_real_distribution<> dis(0,1);
for(int i=1; i<liczbaOkien; i++)
{
if(wynik[i-1]==0)
{
if(dis(gen) <= Pdz)
{
wynik[i] = 0;
}
else
{
wynik[i] = 1;
}
}
else
{
if(dis(gen) <= b)
{
wynik[i] = 1;
}
else
{
wynik[i] = 0;
}
}
}
return wynik;
}
std::vector<double> walidacjaGilbertModel(std::vector<short> w)
{
std::vector<short> burst;
/// validation
int j = 0;
int l = 0;
for(int i=0; i<w.size(); i++)
{
if(w[i] == 1)
{
j = i + 1;
l=1;
while(j<w.size() && w[j] == 1)
{
l = l + 1;
j = j + 1;
}
if(l>1)
{
burst.push_back(l);
}
i = j - 1;
}
i = i + 1;
}
/// Mean Burst Lost Length estimation
int sumaBurst = 0;
for(int j=0; j<burst.size(); j++)
{
sumaBurst = sumaBurst + burst[j];
}
double srMBLL = (double) sumaBurst/(double) burst.size();
/// number of loss packets
int suma = 0;
for(int i=0; i<w.size(); i++)
{
suma = suma + w[i];
}
double PLR = ((double)suma/(double)w.size())*100;
std::vector<double> wyniki;
wyniki.push_back(PLR);
wyniki.push_back(srMBLL);
return wyniki;
}
std::vector< std::vector<double> > convolutionModeldWavFile(std::vector<short> gilbert, std::vector< std::vector<double> > dane, int rozmiar_okna, PCMWavData obj)
{
int liczbaProbekWindow_size = (obj.getSampleRate() * rozmiar_okna * 0.001);
for(int i=0; i<gilbert.size(); i++)
{
if(gilbert[i] == 1)
{
for(int j=0; j<liczbaProbekWindow_size; j++)
{
dane[i][j] = 0;
}
}
}
return dane;
}
std::string toPosixNotation(std::string path)
{
for(int i=0; i<path.size(); i++)
{
if(path[i] == '\\')
{
path[i] = '\\\\';
}
}
return path;
}