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使用C语言实现的FFT及IFFT算法实例,能计算任意以2为对数底的采样点数的FFT,算法参考上面给的流程图。
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- /*
- * zx_fft.h
- *
- * Created on: 2013-8-5
- * Author: monkeyzx
- */
-
- #ifndef ZX_FFT_H_
- #define ZX_FFT_H_
-
- typedef float FFT_TYPE;
-
- #ifndef PI
- #define PI (3.14159265f)
- #endif
-
- typedef struct complex_st {
- FFT_TYPE real;
- FFT_TYPE img;
- } complex;
-
- int fft(complex *x, int N);
- int ifft(complex *x, int N);
- void zx_fft(void);
-
- #endif /* ZX_FFT_H_ */
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- /*
- * zx_fft.c
- *
- * Implementation of Fast Fourier Transform(FFT)
- * and reversal Fast Fourier Transform(IFFT)
- *
- * Created on: 2013-8-5
- * Author: monkeyzx
- */
-
- #include "zx_fft.h"
- #include
- #include
-
- /*
- * Bit Reverse
- * === Input ===
- * x : complex numbers
- * n : nodes of FFT. @N should be power of 2, that is 2^(*)
- * l : count by bit of binary format, @l=CEIL{log2(n)}
- * === Output ===
- * r : results after reversed.
- * Note: I use a local variable @temp that result @r can be set
- * to @x and won't overlap.
- */
- static void BitReverse(complex *x, complex *r, int n, int l)
- {
- int i = 0;
- int j = 0;
- short stk = 0;
- static complex *temp = 0;
-
- temp = (complex *)malloc(sizeof(complex) * n);
- if (!temp) {
- return;
- }
-
- for(i=0; i
- stk = 0;
- j = 0;
- do {
- stk |= (i>>(j++)) & 0x01;
- if(j
- {
- stk <<= 1;
- }
- }while(j
-
- if(stk < n) { /* 满足倒位序输出 */
- temp[stk] = x;
- }
- }
- /* copy @temp to @r */
- for (i=0; i
- r = temp;
- }
- free(temp);
- }
-
- /*
- * FFT Algorithm
- * === Inputs ===
- * x : complex numbers
- * N : nodes of FFT. @N should be power of 2, that is 2^(*)
- * === Output ===
- * the @x contains the result of FFT algorithm, so the original data
- * in @x is destroyed, please store them before using FFT.
- */
- int fft(complex *x, int N)
- {
- int i,j,l,ip;
- static int M = 0;
- static int le,le2;
- static FFT_TYPE sR,sI,tR,tI,uR,uI;
-
- M = (int)(log(N) / log(2));
-
- /*
- * bit reversal sorting
- */
- BitReverse(x,x,N,M);
-
- /*
- * For Loops
- */
- for (l=1; l<=M; l++) { /* loop for ceil{log2(N)} */
- le = (int)pow(2,l);
- le2 = (int)(le / 2);
- uR = 1;
- uI = 0;
- sR = cos(PI / le2);
- sI = -sin(PI / le2);
- for (j=1; j<=le2; j++) { /* loop for each sub DFT */
- //jm1 = j - 1;
- for (i=j-1; i<=N-1; i+=le) { /* loop for each butterfly */
- ip = i + le2;
- tR = x[ip].real * uR - x[ip].img * uI;
- tI = x[ip].real * uI + x[ip].img * uR;
- x[ip].real = x.real - tR;
- x[ip].img = x.img - tI;
- x.real += tR;
- x.img += tI;
- } /* Next i */
- tR = uR;
- uR = tR * sR - uI * sI;
- uI = tR * sI + uI *sR;
- } /* Next j */
- } /* Next l */
-
- return 0;
- }
-
- /*
- * Inverse FFT Algorithm
- * === Inputs ===
- * x : complex numbers
- * N : nodes of FFT. @N should be power of 2, that is 2^(*)
- * === Output ===
- * the @x contains the result of FFT algorithm, so the original data
- * in @x is destroyed, please store them before using FFT.
- */
- int ifft(complex *x, int N)
- {
- int k = 0;
-
- for (k=0; k<=N-1; k++) {
- x[k].img = -x[k].img;
- }
-
- fft(x, N); /* using FFT */
-
- for (k=0; k<=N-1; k++) {
- x[k].real = x[k].real / N;
- x[k].img = -x[k].img / N;
- }
-
- return 0;
- }
-
- /*
- * Code below is an example of using FFT and IFFT.
- */
- #define SAMPLE_NODES (128)
- complex x[SAMPLE_NODES];
- int INPUT[SAMPLE_NODES];
- int OUTPUT[SAMPLE_NODES];
-
- static void MakeInput()
- {
- int i;
-
- for ( i=0;i
- {
- x.real = sin(PI*2*i/SAMPLE_NODES);
- x.img = 0.0f;
- INPUT=sin(PI*2*i/SAMPLE_NODES)*1024;
- }
- }
-
- static void MakeOutput()
- {
- int i;
-
- for ( i=0;i
- {
- OUTPUT = sqrt(x.real*x.real + x.img*x.img)*1024;
- }
- }
-
- void zx_fft(void)
- {
- MakeInput();
-
- fft(x,128);
- MakeOutput();
-
- ifft(x,128);
- MakeOutput();
- }
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