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.
1 Purpose
C06FKF calculates the circular convolution or correlation of two real vectors of period (using a work array for extra speed).
2 Specification
INTEGER
JOB, N, IFAIL
REAL (KIND=nag_wp)
X(N), Y(N), WORK(N)
3 Description
C06FKF computes:
- if , the discrete convolution of and , defined by
- if , the discrete correlation of and defined by
Here and are real vectors, assumed to be periodic, with period , i.e., ; and are then also periodic with period .
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
,
,
and
are the discrete Fourier transforms of these sequences, i.e.,
then
and
(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
.
4 References
Brigham E O (1974) The Fast Fourier Transform Prentice–Hall
5 Parameters
- 1: JOB – INTEGERInput
On entry: the computation to be performed.
- (convolution);
- (correlation).
Constraint:
or .
- 2: X(N) – REAL (KIND=nag_wp) arrayInput/Output
On entry: the elements of one period of the vector
. If
X is declared with bounds
in the subroutine from which C06FKF is called, then
must contain
, for
.
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
.
If
Y is declared with bounds
in the subroutine from which C06FKF is called, then
must contain
, for
.
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:
, the number of values in one period of the vectors
X and
Y. The largest prime factor of
N must not exceed
, and the total number of prime factors of
N, counting repetitions, must not exceed
.
Constraint:
.
- 5: WORK(N) – REAL (KIND=nag_wp) arrayWorkspace
- 6: IFAIL – INTEGERInput/Output
-
On entry:
IFAIL must be set to
,
. 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
is recommended. If the output of error messages is undesirable, then the value
is recommended. Otherwise, if you are not familiar with this parameter, the recommended value is
.
When the value is used it is essential to test the value of IFAIL on exit.
On exit:
unless the routine detects an error or a warning has been flagged (see
Section 6).
6 Error Indicators and Warnings
If on entry
or
, explanatory error messages are output on the current error message unit (as defined by
X04AAF).
Errors or warnings detected by the routine:
-
At least one of the prime factors of
N is greater than
.
-
N has more than
prime factors.
-
On entry, .
-
On entry, or .
7 Accuracy
The results should be accurate to within a small multiple of the machine precision.
The time taken is approximately proportional to , but also depends on the factorization of . C06FKF is faster if the only prime factors of are , or ; and fastest of all if is a power of .
9 Example
This example reads in the elements of one period of two real vectors and , 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)