I'm sound file that I've record using the `ALSA' lib using following setups :
Fs = 96000; // sample frequency
channelNumber = 1 ;
format =int16 ;
length = 5sec;
meaning that I get 480000 16bit value. Now I want to calculate the PSD of the set of that to get something like :
what I'm trying to do is tto save the result as a bunch of double value in a extra data so I can plot them of evaluating them ( I'm not sure if that's correct) :
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <fftw3.h>
int main(){
char fileName[] = "sound.raw";
char magnFile[] = "data.txt";
FILE* inp = NULL;
FILE* oup = NULL;
float* data = NULL;
fftwf_complex* out;
int index = 0;
fftwf_plan plan;
double var =0;
short wert = 0;
float r,i,magn;
int N = 512;
data =(float*)fftwf_malloc(sizeof(float)*N);
out = (fftwf_complex*) fftwf_malloc(sizeof(fftwf_complex)*N);
//Allocating the memory for the input data
plan = fftwf_plan_dft_r2c_1d(N,data,out, FFTW_MEASURE);
// opening the file for reading
inp = fopen(fileName,"r");
oup = fopen(magnFile,"w+");
if(inp== NULL){
printf(" couldn't open the file \n ");
return -1;
}
if(oup==NULL){
printf(" couldn't open the output file \n");
}
while(!feof(inp)){
if(index < N){
fread(&wert,sizeof(short),1,inp);
//printf(" Wert %d \n",wert);
data[index] = (float)wert;
//printf(" Wert %lf \n",data[index]);
index = index +1;
}
else{
index = 0;
fftwf_execute(plan);
//printf("New Plan \n");
//printf(" Real \t imag \t Magn \t \n");
for(index = 0 ; index<N; index++){
r=out[index][0];
i =out[index][1];
magn = sqrt((r*r)+(i*i));
printf("%.10lf \t %.10lf \t %.10lf \t \n",r,i,magn);
//fwrite(&magn,sizeof(float),1,oup);
//fwrite("\n",sizeof(char),1,oup);
fprintf(oup,"%.10lf\n ", magn);
}
index = 0 ;
fseek(inp,N,SEEK_CUR);
}
}
fftwf_destroy_plan(plan);
fftwf_free(data);
fftwf_free(out);
fclose(inp);
fclose(oup);
return 0 ;
}
the problem that I have is how can I implement the winding function in my code ?
and I don't think that result is accurate, since I'get a lot of zero in magnitude values ? ?
if somebody has an example I'll be thankful .
Here is a simple example of applying a "Hanning" window to your data prior to the FFT:
for (int i = 0; i < N; ++i)
{
data[i] *= 0.5 * (1.0 + cos(2.0 * M_PI * (double)i / (double)(N - 1)));
}