diff options
author | Eric Andersen <andersen@codepoet.org> | 2001-05-10 00:40:28 +0000 |
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committer | Eric Andersen <andersen@codepoet.org> | 2001-05-10 00:40:28 +0000 |
commit | 1077fa4d772832f77a677ce7fb7c2d513b959e3f (patch) | |
tree | 579bee13fb0b58d2800206366ec2caecbb15f3fc /libm/double/fftr.c | |
parent | 22358dd7ce7bb49792204b698f01a6f69b9c8e08 (diff) |
uClibc now has a math library. muahahahaha!
-Erik
Diffstat (limited to 'libm/double/fftr.c')
-rw-r--r-- | libm/double/fftr.c | 237 |
1 files changed, 237 insertions, 0 deletions
diff --git a/libm/double/fftr.c b/libm/double/fftr.c new file mode 100644 index 000000000..d4ce23463 --- /dev/null +++ b/libm/double/fftr.c @@ -0,0 +1,237 @@ +/* fftr.c + * + * FFT of Real Valued Sequence + * + * + * + * SYNOPSIS: + * + * double x[], sine[]; + * int m; + * + * fftr( x, m, sine ); + * + * + * + * DESCRIPTION: + * + * Computes the (complex valued) discrete Fourier transform of + * the real valued sequence x[]. The input sequence x[] contains + * n = 2**m samples. The program fills array sine[k] with + * n/4 + 1 values of sin( 2 PI k / n ). + * + * Data format for complex valued output is real part followed + * by imaginary part. The output is developed in the input + * array x[]. + * + * The algorithm takes advantage of the fact that the FFT of an + * n point real sequence can be obtained from an n/2 point + * complex FFT. + * + * A radix 2 FFT algorithm is used. + * + * Execution time on an LSI-11/23 with floating point chip + * is 1.0 sec for n = 256. + * + * + * + * REFERENCE: + * + * E. Oran Brigham, The Fast Fourier Transform; + * Prentice-Hall, Inc., 1974 + * + */ + + +#include <math.h> + +static short n0 = 0; +static short n4 = 0; +static short msav = 0; + +extern double PI; + +#ifdef ANSIPROT +extern double sin ( double ); +static int bitrv(int, int); +#else +double sin(); +static int bitrv(); +#endif + +fftr( x, m0, sine ) +double x[]; +int m0; +double sine[]; +{ +int th, nd, pth, nj, dth, m; +int n, n2, j, k, l, r; +double xr, xi, tr, ti, co, si; +double a, b, c, d, bc, cs, bs, cc; +double *p, *q; + +/* Array x assumed filled with real-valued data */ +/* m0 = log2(n0) */ +/* n0 is the number of real data samples */ + +if( m0 != msav ) + { + msav = m0; + + /* Find n0 = 2**m0 */ + n0 = 1; + for( j=0; j<m0; j++ ) + n0 <<= 1; + + n4 = n0 >> 2; + + /* Calculate array of sines */ + xr = 2.0 * PI / n0; + for( j=0; j<=n4; j++ ) + sine[j] = sin( j * xr ); + } + +n = n0 >> 1; /* doing half length transform */ +m = m0 - 1; + + +/* fftr.c */ + +/* Complex Fourier Transform of n Complex Data Points */ + +/* First, bit reverse the input data */ + +for( k=0; k<n; k++ ) + { + j = bitrv( k, m ); + if( j > k ) + { /* executed approx. n/2 times */ + p = &x[2*k]; + tr = *p++; + ti = *p; + q = &x[2*j+1]; + *p = *q; + *(--p) = *(--q); + *q++ = tr; + *q = ti; + } + } + +/* fftr.c */ +/* Radix 2 Complex FFT */ +n2 = n/2; +nj = 1; +pth = 1; +dth = 0; +th = 0; + +for( l=0; l<m; l++ ) + { /* executed log2(n) times, total */ + j = 0; + do + { /* executed n-1 times, total */ + r = th << 1; + si = sine[r]; + co = sine[ n4 - r ]; + if( j >= pth ) + { + th -= dth; + co = -co; + } + else + th += dth; + + nd = j; + + do + { /* executed n/2 log2(n) times, total */ + r = (nd << 1) + (nj << 1); + p = &x[ r ]; + xr = *p++; + xi = *p; + tr = xr * co + xi * si; + ti = xi * co - xr * si; + r = nd << 1; + q = &x[ r ]; + xr = *q++; + xi = *q; + *p = xi - ti; + *(--p) = xr - tr; + *q = xi + ti; + *(--q) = xr + tr; + nd += nj << 1; + } + while( nd < n ); + } + while( ++j < nj ); + + n2 >>= 1; + dth = n2; + pth = nj; + nj <<= 1; + } + +/* fftr.c */ + +/* Special trick algorithm */ +/* converts to spectrum of real series */ + +/* Highest frequency term; add space to input array if wanted */ +/* +x[2*n] = x[0] - x[1]; +x[2*n+1] = 0.0; +*/ + +/* Zero frequency term */ +x[0] = x[0] + x[1]; +x[1] = 0.0; +n2 = n/2; + +for( j=1; j<=n2; j++ ) + { /* executed n/2 times */ + si = sine[j]; + co = sine[ n4 - j ]; + p = &x[ 2*j ]; + xr = *p++; + xi = *p; + q = &x[ 2*(n-j) ]; + tr = *q++; + ti = *q; + a = xr + tr; + b = xi + ti; + c = xr - tr; + d = xi - ti; + bc = b * co; + cs = c * si; + bs = b * si; + cc = c * co; + *p = ( d - bs - cc )/2.0; + *(--p) = ( a + bc - cs )/2.0; + *q = -( d + bs + cc )/2.0; + *(--q) = ( a - bc + cs )/2.0; + } + +return(0); +} + +/* fftr.c */ + +/* Bit reverser */ + +int bitrv( j, m ) +int j, m; +{ +register int j1, ans; +short k; + +ans = 0; +j1 = j; + +for( k=0; k<m; k++ ) + { + ans = (ans << 1) + (j1 & 1); + j1 >>= 1; + } + +return( ans ); +} |