c06eb calculates the discrete Fourier transform of a Hermitian sequence of n complex data values. (No extra workspace required.)


public static void c06eb(
	double[] x,
	int n,
	out int ifail
Visual Basic
Public Shared Sub c06eb ( _
	x As Double(), _
	n As Integer, _
	<OutAttribute> ByRef ifail As Integer _
Visual C++
static void c06eb(
	array<double>^ x, 
	int n, 
	[OutAttribute] int% ifail
static member c06eb : 
        x : float[] * 
        n : int * 
        ifail : int byref -> unit 


Type: array<System..::..Double>[]()[][]
An array of size [n]
On entry: the sequence to be transformed stored in Hermitian form. If the data values zj are written as xj+iyj, and if x is declared with bounds 0:n-1 in the method from which c06eb is called, then for 0jn/2, xj is contained in x[j-1], and for 1jn-1/2, yj is contained in x[n-j]. (See also [] in the C06 class Chapter Introduction and [Example].)
On exit: the components of the discrete Fourier transform x^k. If x is declared with bounds 0:n-1 in the method from which c06eb is called, then x^k is stored in x[k], for k=0,1,,n-1.
Type: System..::..Int32
On entry: n, the number of data values. The largest prime factor of n must not exceed 19, and the total number of prime factors of n, counting repetitions, must not exceed 20.
Constraint: n>1.
Type: System..::..Int32%
On exit: ifail=0 unless the method detects an error or a warning has been flagged (see [Error Indicators and Warnings]).


Given a Hermitian sequence of n complex data values zj (i.e., a sequence such that z0 is real and zn-j is the complex conjugate of zj, for j=1,2,,n-1), c06eb calculates their discrete Fourier transform defined by
x^k=1nj=0n-1zj×exp-i2πjkn,  k=0,1,,n-1.
(Note the scale factor of 1n in this definition.) The transformed values x^k are purely real (see also the C06 class).
To compute the inverse discrete Fourier transform defined by
this method should be preceded by a call of c06gb to form the complex conjugates of the zj.
c06eb uses the fast Fourier transform (FFT) algorithm (see Brigham (1974)). There are some restrictions on the value of n (see [Parameters]).


Brigham E O (1974) The Fast Fourier Transform Prentice–Hall

Error Indicators and Warnings

Errors or warnings detected by the method:
At least one of the prime factors of n is greater than 19.
n has more than 20 prime factors.
On entry,n1.
An unexpected error has occurred in an internal call. Check all method calls and array dimensions. Seek expert help.
An error occured, see message report.
Negative dimension for array value
Invalid Parameters value


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).

Parallelism and Performance


Further Comments

The time taken is approximately proportional to n×logn, but also depends on the factorization of n. c06eb is faster if the only prime factors of n are 2, 3 or 5; and fastest of all if n is a power of 2.
On the other hand, c06eb is particularly slow if n has several unpaired prime factors, i.e., if the ‘square-free’ part of n has several factors. For such values of n, (C06FBF not in this release) (which requires an additional n elements of workspace) is considerably faster.


See Also