C06FKF (PDF version)
C06 Chapter Contents
C06 Chapter Introduction
NAG Library Manual

NAG Library Routine Document

C06FKF

Note:  before using this routine, please read the Users' Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.

+ Contents

    1  Purpose
    7  Accuracy

1  Purpose

C06FKF calculates the circular convolution or correlation of two real vectors of period n (using a work array for extra speed).

2  Specification

SUBROUTINE C06FKF ( JOB, X, Y, N, WORK, IFAIL)
INTEGER  JOB, N, IFAIL
REAL (KIND=nag_wp)  X(N), Y(N), WORK(N)

3  Description

C06FKF computes:
Here x and y are real vectors, assumed to be periodic, with period n, i.e., xj = x j±n = x j±2n = ; z and w are then also periodic with period n.
Note:  this usage of the terms ‘convolution’ and ‘correlation’ is taken from Brigham (1974). The term ‘convolution’ is sometimes used to denote both these computations.
If x^ , y^ , z^  and w^  are the discrete Fourier transforms of these sequences, i.e.,
x^k = 1n j=0 n-1 xj × exp -i 2πjk n , etc.,
then z^k = n . x^k y^k  and w^k = n . x^- k y^k  (the bar denoting complex conjugate).
This routine calls the same auxiliary routines as C06FAF and C06FBF to compute discrete Fourier transforms, and there are some restrictions on the value of n.

4  References

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

5  Parameters

1:     JOB – INTEGERInput
On entry: the computation to be performed.
JOB=1
zk = j=0 n-1 x j y k-j  (convolution);
JOB=2
w k = j=0 n-1 x j y k+j  (correlation).
Constraint: JOB=1 or 2.
2:     X(N) – REAL (KIND=nag_wp) arrayInput/Output
On entry: the elements of one period of the vector x. If X is declared with bounds 0:N-1 in the subroutine from which C06FKF is called, then Xj  must contain xj, for j=0,1,,n-1.
On exit: the corresponding elements of the discrete convolution or correlation.
3:     Y(N) – REAL (KIND=nag_wp) arrayInput/Output
On entry: the elements of one period of the vector y. If Y is declared with bounds 0:N-1 in the subroutine from which C06FKF is called, then Yj must contain yj, for j=0,1,,n-1.
On exit: the discrete Fourier transform of the convolution or correlation returned in the array X; the transform is stored in Hermitian form, exactly as described in the document for C06FAF.
4:     N – INTEGERInput
On entry: n, the number of values in one period of the vectors X and Y. 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.
5:     WORK(N) – REAL (KIND=nag_wp) arrayWorkspace
6:     IFAIL – INTEGERInput/Output
On entry: IFAIL must be set to 0, -1​ or ​1. If you are unfamiliar with this parameter you should refer to Section 3.3 in the Essential Introduction for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value -1​ or ​1 is recommended. If the output of error messages is undesirable, then the value 1 is recommended. Otherwise, if you are not familiar with this parameter, the recommended value is 0. When the value -1​ or ​1 is used it is essential to test the value of IFAIL on exit.
On exit: IFAIL=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6  Error Indicators and Warnings

If on entry IFAIL=0 or -1, explanatory error messages are output on the current error message unit (as defined by X04AAF).
Errors or warnings detected by the routine:
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,N1.
IFAIL=4
On entry,JOB1 or 2.

7  Accuracy

The results should be accurate to within a small multiple of the machine precision.

8  Further Comments

The time taken is approximately proportional to n × logn, but also depends on the factorization of n. C06FKF 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.

9  Example

This example reads in the elements of one period of two real vectors x and y, and prints their discrete convolution and correlation (as computed by C06FKF). In realistic computations the number of data values would be much larger.

9.1  Program Text

Program Text (c06fkfe.f90)

9.2  Program Data

Program Data (c06fkfe.d)

9.3  Program Results

Program Results (c06fkfe.r)


C06FKF (PDF version)
C06 Chapter Contents
C06 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2012