sprod1du(3F)
sprod1du, dprod1du - Compute the product of a 1D Fourier transform with a 1D filter.
As shipped in IRIX 6.5.15. Unchanged since IRIX 6.5.
NAME sprod1du, dprod1du - Compute the product of a 1D Fourier transform with a 1D filter. SYNOPSYS Fortran : subroutine sprod1du( n, array, inca, filter, incf) integer n, p, inca, incf real array(0:(n-1)*inca), filter(0:(n-1)*incf) subroutine dprod1du( n, array, inca, filter, incf) integer n, p, inca, lda, incf, ldf real*8 array(0:(n-1)*inca), filter(0:(n-1)*incf) C : #include <fft.h> int sprod1du(int n, float *array, int inca, float *filter, int incf); int dprod1du(int n, double *array,int inca, double *filter, int incf); DESCRIPTION sprod1du and dprod1du compute the product of the Fourier transforms of a real sequence of N samples with the Fourier transforms of a real filter. Note, the product of the Fourier transforms of two sequences is equal to the Fourier transform of their convolution. PARAMETERS N Integer, the number of samples in each sequence. Unchanged on exit. ARRAY Array containing the Fourier Transform. On exit, the array is overwritten by the product. INCA Integer, increment between two consecutive elements of the sequence. Unchanged on exit. FILTER Array containing the Fourier Transform of the filter(s). Unchanged on exit. INCF Integer, increment between two consecutive elements of the filter. Unchanged on exit. Example of Calling Sequence Working on a sequences of 1024 real values. We successively apply a Direct Fourier Transform, the product with a filter transform, then an Inverse Fourier Transform- Elements of each sequence are stored with increment (stride)1. Fortran real array(0:1026-1), filter(0:1026-1), coeff(1024+15) call scfft1dui( 1024, coeff) call scfft1du( -1, 1024, array, 1, coeff) call sprod1du( 1024, array, 1, filter, call csfft1du( 1, 1024, array, 1, coeff) C #include <fft.h> float array[1026], filter[1026], *coeff; coeff = scfft1dui( 1024, NULL); scfft1du( -1, 1024, array, 1, coeff); sprod1du( 1024, array, 1, filter, 1); csfft1du( -1, 1024, array, 1, coeff); NOTE_1 : Using a 0 leading dimension for the filter is equivalent to applying the same filter to all the input sequences. NOTE_2 : As the FFTs are not normalized, a successive direct, then inverse transform, scales the original input by the size of the sequence. Rather than calling sscal1d or dscal1d to scale back the result, this scaling factor could be directly applied to the filter transform, thus saving some extra work. SEE ALSO fft, scfft1dui, dzfft1dui, scfft1du, dzfft1du, sprod1du, dprod1du, sscal1d, dscal1d