c06eb calculates the discrete Fourier transform of a Hermitian sequence of

n

complex data values. (No extra workspace required.)

Syntax

C#
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++
public: static void c06eb( array<double>^ x, int n, [OutAttribute] int% ifail )

F#
static member c06eb : x : float[] * n : int * ifail : int byref -> unit

Parameters

x: Type: array<System..::..Double>[]()[][]
An array of size [n]
On entry: the sequence to be transformed stored in Hermitian form. If the data values $z_{j}$ are written as $x_{j} + i y_{j}$ , and if x is declared with bounds $(0 : n - 1)$ in the method from which c06eb is called, then for $0 \leq j \leq n / 2$ , $x_{j}$ is contained in $x [j - 1]$ , and for $1 \leq j \leq (n - 1) / 2$ , $y_{j}$ 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 ${\hat{x}}_{k}$ . If x is declared with bounds $(0 : n - 1)$ in the method from which c06eb is called, then ${\hat{x}}_{k}$ is stored in $x [k]$ , for $k = 0, 1, \dots, n - 1$ .

n: 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: $n > 1$ .

ifail: Type: System..::..Int32%
On exit: $ifail = 0$ unless the method detects an error or a warning has been flagged (see [Error Indicators and Warnings]).

Description

Given a Hermitian sequence of

n

complex data values

z_{j}

(i.e., a sequence such that

z_{0}

is real and

z_{n - j}

is the complex conjugate of

z_{j}

, for

j = 1, 2, \dots, n - 1

), c06eb calculates their discrete Fourier transform defined by

{\hat{x}}_{k} = \frac{1}{\sqrt{n}} \sum_{j = 0}^{n - 1} z_{j} \times \exp (- i \frac{2 π j k}{n}), k = 0, 1, \dots, n - 1 .

(Note the scale factor of

\frac{1}{\sqrt{n}}

in this definition.) The transformed values

{\hat{x}}_{k}

are purely real (see also the C06 class).

To compute the inverse discrete Fourier transform defined by

{\hat{y}}_{k} = \frac{1}{\sqrt{n}} \sum_{j = 0}^{n - 1} z_{j} \times \exp (+ i \frac{2 π j k}{n}),

this method should be preceded by a call of c06gb to form the complex conjugates of the

z_{j}

c06eb uses the fast Fourier transform (FFT) algorithm (see Brigham (1974)). There are some restrictions on the value of

n

(see [Parameters]).

References

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

Error Indicators and Warnings

Errors or warnings detected by the method:

$ifail = 1$: At least one of the prime factors of n is greater than $19$ .

$ifail = 2$: n has more than $20$ prime factors.

$ifail = 3$

On entry,

n \leq 1

$ifail = 4$: An unexpected error has occurred in an internal call. Check all method calls and array dimensions. Seek expert help.

$ifail = -9000$: An error occured, see message report.
$ifail = -8000$: Negative dimension for array $〈value〉$
$ifail = -6000$: Invalid Parameters $〈value〉$

Accuracy

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

None.

Further Comments

The time taken is approximately proportional to

n \times \log (n)

, but also depends on the factorization of

n

. c06eb is faster if the only prime factors of

n

are

2

3

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.

Example

Example program (C#): c06ebe.cs

Example program data: c06ebe.d

Example program results: c06ebe.r