FFT加汉宁窗的N点插值函数C程序
时间: 2023-04-08 17:04:09 浏览: 155
用汉宁窗函数 的频谱分析源代码.rar_fault motor_汉宁窗_窗函数_频率泄漏_频谱泄漏
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我可以回答这个问题。以下是一个FFT加汉宁窗的N点插值函数的C程序示例:
```c
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define PI 3.14159265358979323846
void fft(double *x, double *y, int n)
{
int i, j, k, m;
double r, s, t, u, v, w, a, b, c, d;
m = log(n) / log(2);
for (i = 0; i < n; i++) {
j = 0;
for (k = 0; k < m; k++) {
j <<= 1;
if (i & (1 << k)) j |= 1;
}
if (j < i) {
t = x[i];
x[i] = x[j];
x[j] = t;
t = y[i];
y[i] = y[j];
y[j] = t;
}
}
for (i = 1; i <= m; i++) {
u = 1;
v = 0;
w = PI / (1 << (i - 1));
a = cos(w);
b = -sin(w);
for (j = 0; j < (1 << (i - 1)); j++) {
for (k = j; k < n; k += (1 << i)) {
r = u * x[k + (1 << (i - 1))] - v * y[k + (1 << (i - 1))];
s = v * x[k + (1 << (i - 1))] + u * y[k + (1 << (i - 1))];
x[k + (1 << (i - 1))] = x[k] - r;
y[k + (1 << (i - 1))] = y[k] - s;
x[k] += r;
y[k] += s;
}
c = u * a - v * b;
d = v * a + u * b;
u = c;
v = d;
}
}
}
void hann(double *x, int n)
{
int i;
for (i = 0; i < n; i++) {
x[i] *= 0.5 * (1 - cos(2 * PI * i / (n - 1)));
}
}
void interpolate(double *x, double *y, int n, int m)
{
int i, j, k;
double *xx, *yy;
xx = (double *) malloc(n * sizeof(double));
yy = (double *) malloc(n * sizeof(double));
for (i = 0; i < n; i++) {
xx[i] = x[i];
yy[i] = y[i];
}
hann(xx, n);
fft(xx, yy, n);
for (i = 0; i < m; i++) {
x[i] = i * 1.0 / m;
y[i] = 0;
for (j = 0; j < n; j++) {
k = (j + n / 2) % n;
y[i] += xx[j] * cos(2 * PI * k * i / m) + yy[j] * sin(2 * PI * k * i / m);
}
y[i] /= n;
}
free(xx);
free(yy);
}
int main()
{
int n = 8;
int m = 16;
double x[] = {0, 1, 2, 3, 4, 5, 6, 7};
double y[] = {0, 1, 0, -1, 0, 1, 0, -1};
int i;
interpolate(x, y, n, m);
for (i = 0; i < m; i++) {
printf("%f %f\n", x[i], y[i]);
}
return 0;
}
```
该程序实现了一个FFT加汉宁窗的N点插值函数,可以将一个长度为N的实数序列插值为一个长度为M的实数序列。程序中使用了FFT算法和汉宁窗函数,可以通过修改N和M的值来调整插值的精度。
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