请参阅此问题下方答案中的编辑。
我编写了一个脚本,用c ++绘制正弦信号的频谱。以下是步骤
我有三个图:信号,信号何时乘以汉宁函数,以及频谱。频谱看起来不对。它的峰值应为50 Hz。任何建议将不胜感激。这是代码:
#include <stdlib.h>
#include <stdio.h>
#include <time.h>
#include <fftw3.h>
#include <iostream>
#include <cmath>
#include <fstream>
using namespace std;
int main()
{
int i;
double y;
int N=50;
double Fs=1000;//sampling frequency
double T=1/Fs;//sample time
double f=50;//frequency
double *in;
fftw_complex *out;
double t[N];//time vector
double ff[N];
fftw_plan plan_forward;
in = (double*) fftw_malloc(sizeof(double) * N);
out = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
for (int i=0; i< N;i++)
{
t[i]=i*T;
ff[i]=1/t[i];
in[i] =0.7 *sin(2*M_PI*f*t[i]);// generate sine waveform
double multiplier = 0.5 * (1 - cos(2*M_PI*i/(N-1)));//Hanning Window
in[i] = multiplier * in[i];
}
plan_forward = fftw_plan_dft_r2c_1d ( N, in, out, FFTW_ESTIMATE );
fftw_execute ( plan_forward );
double v[N];
for (int i = 0; i < N; i++)
{
v[i]=20*log(sqrt(out[i][0]*out[i][0]+ out[i][1]*out[i][1])/N/2);//Here I have calculated the y axis of the spectrum in dB
}
fstream myfile;
myfile.open("example2.txt",fstream::out);
myfile << "plot '-' using 1:2" << std::endl;
for(i = 0; i < N; ++i)
{
myfile << ff[i]<< " " << v[i]<< std::endl;
}
myfile.close();
fftw_destroy_plan ( plan_forward );
fftw_free ( in );
fftw_free ( out );
return 0;
}
我必须补充一点,我在将结果插入example2.txt后使用gnuplot绘制了图形。所以ff [i] vs v [i]应该给我频谱。
答案 0 :(得分:1)
我的频率间隔完全错误。根据{{3}}; x 轴上的频率范围和分辨率取决于采样率和 N 。频率轴上的最后一点应该是 Fs / 2-Fs / N ,分辨率 dF = FS / N 。所以我将脚本改为:(因为频率分辨率为 Fs / N ,因为增加击打次数 N (或降低采样频率 Fs ),您将获得更小的频率分辨率和更好的结果。 )
#include <stdlib.h>
#include <stdio.h>
#include <time.h>
#include <fftw3.h>
#include <iostream>
#include <cmath>
#include <fstream>
using namespace std;
int main()
{
int i;
double y;
int N=550;//Number of points acquired inside the window
double Fs=200;//sampling frequency
double dF=Fs/N;
double T=1/Fs;//sample time
double f=50;//frequency
double *in;
fftw_complex *out;
double t[N];//time vector
double ff[N];
fftw_plan plan_forward;
in = (double*) fftw_malloc(sizeof(double) * N);
out = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
for (int i=0; i<= N;i++)
{
t[i]=i*T;
in[i] =0.7 *sin(2*M_PI*f*t[i]);// generate sine waveform
double multiplier = 0.5 * (1 - cos(2*M_PI*i/(N-1)));//Hanning Window
in[i] = multiplier * in[i];
}
for (int i=0; i<= ((N/2)-1);i++)
{ff[i]=Fs*i/N;
}
plan_forward = fftw_plan_dft_r2c_1d ( N, in, out, FFTW_ESTIMATE );
fftw_execute ( plan_forward );
double v[N];
for (int i = 0; i<= ((N/2)-1); i++)
{
v[i]=(20*log(sqrt(out[i][0]*out[i][0]+ out[i][1]*out[i][1])))/N; //Here I have calculated the y axis of the spectrum in dB
}
fstream myfile;
myfile.open("example2.txt",fstream::out);
myfile << "plot '-' using 1:2" << std::endl;
for(i = 0;i< ((N/2)-1); i++)
{
myfile << ff[i]<< " " << v[i]<< std::endl;
}
myfile.close();
fftw_destroy_plan ( plan_forward );
fftw_free ( in );
fftw_free ( out );
return 0;
}
答案 1 :(得分:0)
我认为你可能没有足够的样本,特别是参考这个Electronics.StackExhcange帖子:https://electronics.stackexchange.com/q/12407/84272。
您正在为50个样本进行采样,因此需要25个FFT分档。您的采样频率为1000 Hz,因此每个FFT频段需要1000/2/25 == 250 Hz。您的bin分辨率太低。
我认为您需要降低采样频率或增加采样数。
答案 2 :(得分:0)
由于您在SO上的问题,您的代码可以使用一些缩进和样式改进,以使其更容易阅读。
#include <stdlib.h>
#include <stdio.h>
#include <time.h>
#include <fftw3.h>
#include <iostream>
#include <cmath>
#include <fstream>
using namespace std;
int main(){
// use meaningful names for all the variables
int i;
double y;
int N = 550; // number of points acquired inside the window
double Fs = 200; // sampling frequency
double dF = Fs / N;
double T = 1 / Fs; // sample time
double f = 50; // frequency
double *in;
fftw_complex *out;
double t[N]; // time vector
double ff[N];
fftw_plan plan_forward;
in = (double*) fftw_malloc(sizeof(double) * N);
out = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
for (int i = 0; i <= N; i++){
t[i]=i*T;
in[i] = 0.7 * sin(2 * M_PI * f * t[i]); // generate sine waveform
double multiplier = 0.5 * (1 - cos(2 * M_PI * i / (N-1))); // Hanning Window
in[i] = multiplier * in[i];
}
for(int i = 0; i <= ((N/2)-1); i++){
ff[i] = (Fs * i) / N;
}
plan_forward = fftw_plan_dft_r2c_1d(N, in, out, FFTW_ESTIMATE);
fftw_execute(plan_forward);
double v[N];
// Here I have calculated the y axis of the spectrum in dB
for(int i = 0; i <= ((N/2)-1); i++){
v[i] = (20 * log(sqrt(out[i][0] * out[i][0] + out[i][1] * out[i][1]))) / N;
}
fstream myfile;
myfile.open("example2.txt", fstream::out);
myfile << "plot '-' using 1:2" << std::endl;
for(i = 0; i < ((N/2)-1); i++){
myfile << ff[i] << " " << v[i] << std::endl;
}
myfile.close();
fftw_destroy_plan(plan_forward);
fftw_free(in);
fftw_free(out);
return 0;
}
您的代码可以使用更多注释,尤其是在循环或函数调用之前指定其输入值(目的)和/或返回值(结果)。