NAG Library Function Document
nag_fft_multid_single (c06pfc) computes the discrete Fourier transform of one variable in a multivariate sequence of complex data values.
||nag_fft_multid_single (Nag_TransformDirection direct,
const Integer nd,
nag_fft_multid_single (c06pfc) computes the discrete Fourier transform of one variable (the th say) in a multivariate sequence of complex data values , where , and so on. Thus the individual dimensions are , and the total number of data values is .
The function computes
one-dimensional transforms defined by
. The plus or minus sign in the argument of the exponential terms in the above definition determine the direction of the transform: a minus sign defines the forward
direction and a plus sign defines the backward
(Note the scale factor of in this definition.)
A call of nag_fft_multid_single (c06pfc) with followed by a call with will restore the original data.
The data values must be supplied in a one-dimensional complex array using column-major storage ordering of multidimensional data (i.e., with the first subscript varying most rapidly).
uses a variant of the fast Fourier transform (FFT) algorithm (see Brigham (1974)
) known as the Stockham self-sorting algorithm, which is described in Temperton (1983)
Brigham E O (1974) The Fast Fourier Transform Prentice–Hall
Temperton C (1983) Self-sorting mixed-radix fast Fourier transforms J. Comput. Phys. 52 1–23
direct – Nag_TransformDirectionInput
: if the forward transform as defined in Section 3
is to be computed, then direct
must be set equal to Nag_ForwardTransform.
If the backward transform is to be computed then direct
must be set equal to Nag_BackwardTransform.
ndim – IntegerInput
On entry: , the number of dimensions (or variables) in the multivariate data.
l – IntegerInput
On entry: , the index of the variable (or dimension) on which the discrete Fourier transform is to be performed.
nd[ndim] – const IntegerInput
: the elements of nd
must contain the dimensions of the ndim
variables; that is,
must contain the dimension of the
- , for ;
- must have less than prime factors (counting repetitions).
n – IntegerInput
On entry: , the total number of data values.
must equal the product of the first ndim
elements of the array nd
x[n] – ComplexInput/Output
: the complex data values. Data values are stored in x
using column-major ordering for storing multidimensional arrays; that is,
is stored in
On exit: the corresponding elements of the computed transform.
fail – NagError *Input/Output
The NAG error argument (see Section 3.6
in the Essential Introduction).
6 Error Indicators and Warnings
Dynamic memory allocation failed.
On entry, argument had an illegal value.
must have less than prime factors: .
On entry, .
Constraint: and .
On entry, .
must equal the product of the dimensions held in array nd
, product of nd
On entry and .
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG
Some indication of accuracy can be obtained by performing a subsequent inverse transform and comparing the results with the original sequence (in exact arithmetic they would be identical).
The time taken is approximately proportional to , but also depends on the factorization of . nag_fft_multid_single (c06pfc) is faster if the only prime factors of are , or ; and fastest of all if is a power of .
This example reads in a bivariate sequence of complex data values and prints the discrete Fourier transform of the second variable. It then performs an inverse transform and prints the sequence so obtained, which may be compared with the original data values.
9.1 Program Text
Program Text (c06pfce.c)
9.2 Program Data
Program Data (c06pfce.d)
9.3 Program Results
Program Results (c06pfce.r)