NAG Library Routine Document
C09FBF
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
C09FBF computes the three-dimensional inverse discrete wavelet transform (IDWT) at a single level. The initialization routine
C09ACF must be called first to set up the DWT options.
2 Specification
INTEGER
M, N, FR, LENC, LDB, SDB, ICOMM(260), IFAIL
REAL (KIND=nag_wp)
C(LENC), B(LDB,SDB,FR)
3 Description
C09FBF performs the inverse operation of routine
C09FAF. That is, given sets of wavelet coefficients computed by routine
C09FAF using a DWT as set up by the initialization routine
C09ACF, on a real data array,
, C09FBF will reconstruct
.
4 References
None.
5 Parameters
- 1: M – INTEGERInput
On entry: the first dimension of the output data: the number of rows of each two-dimensional frame.
Constraint:
this must be the same as the value
M passed to the initialization routine
C09ACF.
- 2: N – INTEGERInput
On entry: the second dimension of the output data: the number of columns of each two-dimensional frame.
Constraint:
this must be the same as the value
N passed to the initialization routine
C09ACF.
- 3: FR – INTEGERInput
On entry: the third dimension of the output data: the number two-dimensional frames.
Constraint:
this must be the same as the value
FR passed to the initialization routine
C09ACF.
- 4: LENC – INTEGERInput
On entry: the dimension of the array
C as declared in the (sub)program from which C09FBF is called.
Constraint:
, where
is the total number of wavelet coefficients, as returned by
C09ACF.
- 5: C(LENC) – REAL (KIND=nag_wp) arrayInput
On entry: the coefficients of the discrete wavelet transform. This will normally be the result of some transformation on the coefficients computed by routine
C09FAF.
- 6: B(LDB,SDB,FR) – REAL (KIND=nag_wp) arrayOutput
On exit: the
by
by
reconstructed array,
, based on the input wavelet coefficients and the transform options supplied to the initialization routine
C09ACF.
- 7: LDB – INTEGERInput
On entry: the first dimension of the array
B as declared in the (sub)program from which C09FBF is called.
Constraint:
.
- 8: SDB – INTEGERInput
On entry: the second dimension of the array
B as declared in the (sub)program from which C09FBF is called.
Constraint:
.
- 9: ICOMM() – INTEGER arrayCommunication Array
On entry: contains details of the discrete wavelet transform and the problem dimension as setup in the call to the initialization routine
C09ACF.
- 10: 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:
-
On entry,
.
Constraint:
, the value of
FR on initialization (see
C09ACF).
On entry,
.
Constraint:
, the value of
M on initialization (see
C09ACF).
On entry,
.
Constraint:
, the value of
N on initialization (see
C09ACF).
-
On entry, and .
Constraint: .
On entry, and .
Constraint: .
-
On entry,
and
.
Constraint:
, where
is the number of DWT coefficients returned by
C09ACF in parameter
NWCT.
-
Either the initialization routine has not been called first or the communication array
ICOMM has been corrupted.
The initialization routine was called with .
-
Dynamic memory allocation failed.
7 Accuracy
The accuracy of the wavelet transform depends only on the floating point operations used in the convolution and downsampling and should thus be close to machine precision.
None.
9 Example