goertzel算法c语言实现
时间: 2023-09-23 16:12:30 浏览: 202
算法C语言实现
Goertzel算法是一种快速的数字滤波器,用于计算特定频率的信号的幅度。下面是一个基于C语言的Goertzel算法实现:
```c
#include <stdio.h>
#include <math.h>
#define PI 3.1415926535897932384626433832795
double goertzel(int numSamples, int TARGET_FREQUENCY, int SAMPLING_RATE, double* data)
{
int k, i;
double floatnumSamples;
double omega, sine, cosine, coeff, q0, q1, q2, result, real, imag;
floatnumSamples = (double) numSamples;
k = (int) (0.5 + ((floatnumSamples * TARGET_FREQUENCY) / SAMPLING_RATE));
omega = (2.0 * PI * k) / floatnumSamples;
sine = sin(omega);
cosine = cos(omega);
coeff = 2.0 * cosine;
q0 = 0;
q1 = 0;
q2 = 0;
for (i = 0; i < numSamples; i++)
{
q0 = coeff * q1 - q2 + data[i];
q2 = q1;
q1 = q0;
}
real = (q1 - q2 * cosine);
imag = (q2 * sine);
result = sqrt(real*real + imag*imag);
return result;
}
int main()
{
int numSamples = 1000;
int TARGET_FREQUENCY = 1000;
int SAMPLING_RATE = 8000;
double data[numSamples];
double amplitude = 10000;
// Generate sample data with a 1000 Hz sine wave
for (int i = 0; i < numSamples; i++)
{
double t = (double)i / SAMPLING_RATE;
data[i] = amplitude * sin(2.0 * PI * TARGET_FREQUENCY * t);
}
double result = goertzel(numSamples, TARGET_FREQUENCY, SAMPLING_RATE, data);
printf("Amplitude at %d Hz: %f\n", TARGET_FREQUENCY, result);
return 0;
}
```
在上面的示例中,我们生成了一个包含1000个采样点的1000 Hz正弦波,并使用Goertzel算法计算该信号在1000 Hz的幅度。函数`goertzel()`接受采样数据数组、目标频率、采样率和采样数作为输入参数,并返回计算结果。
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