c09aaf returns the details of the chosen one-dimensional discrete wavelet filter. For a chosen mother wavelet, discrete wavelet transform type (single-level or multi-level DWT or MODWT) and end extension method, this routine returns the maximum number of levels of resolution (appropriate to a multi-level transform), the filter length, and the number of approximation coefficients (equal to the number of detail coefficients) for a single-level DWT or MODWT or the total number of coefficients for a multi-level DWT or MODWT. This routine must be called before any of the one-dimensional discrete transform routines in this chapter.

2 Specification

Fortran Interface

Subroutine c09aaf (

wavnam, wtrans, mode, n, nwlmax, nf, nwc, icomm, ifail)

Integer, Intent (In)	::	n
Integer, Intent (Inout)	::	ifail
Integer, Intent (Out)	::	nwlmax, nf, nwc, icomm(100)
Character (*), Intent (In)	::	wavnam
Character (1), Intent (In)	::	wtrans, mode

C Header Interface

#include <nag.h>

void	c09aaf_ (const char wavnam, const char wtrans, const char mode, const Integer n, Integer nwlmax, Integer nf, Integer nwc, Integer icomm[], Integer ifail, const Charlen length_wavnam, const Charlen length_wtrans, const Charlen length_mode)

The routine may be called by the names c09aaf or nagf_wav_dim1_init.

3 Description

One-dimensional discrete wavelet transforms (DWT) or maximum overlap wavelet transforms (MODWT) are characterised by the mother wavelet, the end extension method and whether multiresolution analysis is to be performed. For the selected combination of choices for these three characteristics, and for a given length,

n

, of the input data array,

x

, c09aaf returns the dimension details for the transform determined by this combination. The dimension details are:

l_{\max}

, the maximum number of levels of resolution that that could be computed were a multi-level DWT/MODWT applied;

n_{f}

, the filter length;

n_{c}

the number of approximation (or detail) coefficients for a single-level DWT/MODWT or the total number of coefficients generated by a multi-level DWT/MODWT over

l_{\max}

levels. These values are also stored in the communication array icomm, as are the input choices, so that they may be conveniently communicated to the one-dimensional transform routines in this chapter.

4 References

None.

5 Arguments

1: $wavnam$ – Character(*) Input

On entry: the name of the mother wavelet. See the C09 Chapter Introduction for details.

$wavnam ='HAAR' or 'DB1'$: Haar wavelet, also known as $'DB1'$ as a special case of the Daubechies wavelet.
$wavnam =' DB n'$ , where $n = 2, 3, \dots, 38$: Daubechies wavelet with $n$ vanishing moments ( $2 n$ coefficients). For example, $wavnam ='DB4'$ is the name for the Daubechies wavelet with $4$ vanishing moments ( $8$ coefficients).
$wavnam =' COIF n'$ , where $n = 1, 2, \dots, 17$: Coiflet wavelet of order $n$ .
$wavnam ='BEYL'$: Beylkin wavelet.
$wavnam ='VAID'$: Vaidyanathan wavelet.
$wavnam =' SYM n'$ , where $n = 2, 3, \dots, 20$: Symlet wavelet of order $n$ .
$wavnam =' BIOR x . y'$ , where $x . y$ can be one of 1.1, 1.3, 1.5, 2.2, 2.4, 2.6, 2.8, 3.1, 3.3, 3.5, 3.7, 3.9, 4.4, 5.5 or 6.8: Biorthogonal wavelet of order $x . y$ . For example $wavnam ='BIOR3.1'$ is the name for the biorthogonal wavelet of order $3.1$ .
$wavnam =' RBIO x . y'$ , where $x . y$ can be one of 1.1, 1.3, 1.5, 2.2, 2.4, 2.6, 2.8, 3.1, 3.3, 3.5, 3.7, 3.9, 4.4, 5.5 or 6.8: Reverse biorthogonal wavelet of order $x . y$ . For example $wavnam ='RBIO3.1'$ is the name for the reverse biorthogonal wavelet of order $3.1$ .

Constraint:

wavnam ='HAAR', ​'DB1'

'DB2'

'DB3'

'DB4'

'DB5'

'DB6'

'DB7'

'DB8'

'DB9'

'DB10'

'DB11'

'DB12'

'DB13'

'DB14'

'DB15'

'DB16'

'DB17'

'DB18'

'DB19'

'DB20'

'DB21'

'DB22'

'DB23'

'DB24'

'DB25'

'DB26'

'DB27'

'DB28'

'DB29'

'DB30'

'DB31'

'DB32'

'DB33'

'DB34'

'DB35'

'DB36'

'DB37'

'DB38'

'COIF1'

'COIF2'

'COIF3'

'COIF4'

'COIF5'

'COIF6'

'COIF7'

'COIF8'

'COIF9'

'COIF10'

'COIF11'

'COIF12'

'COIF13'

'COIF14'

'COIF15'

'COIF16'

'COIF17'

'BEYL'

'VAID'

'SYM2'

'SYM3'

'SYM4'

'SYM5'

'SYM6'

'SYM7'

'SYM8'

'SYM9'

'SYM10'

'SYM11'

'SYM12'

'SYM13'

'SYM14'

'SYM15'

'SYM16'

'SYM17'

'SYM18'

'SYM19'

'SYM20'

'BIOR1.1'

'BIOR1.3'

'BIOR1.5'

'BIOR2.2'

'BIOR2.4'

'BIOR2.6'

'BIOR2.8'

'BIOR3.1'

'BIOR3.3'

'BIOR3.5'

'BIOR3.7'

'BIOR3.9'

'BIOR4.4'

'BIOR5.5'

'BIOR6.8'

'RBIO1.1'

'RBIO1.3'

'RBIO1.5'

'RBIO2.2'

'RBIO2.4'

'RBIO2.6'

'RBIO2.8'

'RBIO3.1'

'RBIO3.3'

'RBIO3.5'

'RBIO3.7'

'RBIO3.9'

'RBIO4.4'

'RBIO5.5'

'RBIO6.8'

2: $wtrans$ – Character(1) Input

On entry: the type of discrete wavelet transform that is to be applied.

$wtrans ='S'$: Single-level decomposition or reconstruction by discrete wavelet transform.
$wtrans ='M'$: Multiresolution, by a multi-level DWT or its inverse.
$wtrans ='T'$: Single-level decomposition or reconstruction by maximal overlap discrete wavelet transform.
$wtrans ='U'$: Multi-level resolution by a maximal overlap discrete wavelet transform or its inverse.

Constraint:

wtrans ='S'

'M'

'T'

'U'

3: $mode$ – Character(1) Input

On entry: the end extension method. Note that only periodic end extension is currently available for the MODWT.

$mode ='P'$: Periodic end extension.
$mode ='H'$: Half-point symmetric end extension.
$mode ='W'$: Whole-point symmetric end extension.
$mode ='Z'$: Zero end extension.

Constraints:

$mode ='P'$ , $'H'$ , $'W'$ or $'Z'$ for DWT;
$mode ='P'$ for MODWT.

4: $n$ – Integer Input

On entry: the number of elements,

n

, in the input data array,

x

Constraint:

n \geq 2

5: $nwlmax$ – Integer Output

On exit: the maximum number of levels of resolution,

l_{\max}

, that can be computed when a multi-level discrete wavelet transform is applied. It is such that

2^{l_{\max}} \leq n < 2^{l_{\max} + 1}

, for

l_{\max}

an integer.

6: $nf$ – Integer Output

On exit: the filter length,

n_{f}

, for the supplied mother wavelet. This is used to determine the number of coefficients to be generated by the chosen transform.

7: $nwc$ – Integer Output

On exit: for a single-level transform (

wtrans ='S'

'T'

), the number of approximation coefficients that would be generated for the given problem size, mother wavelet, extension method and type of transform; this is also the corresponding number of detail coefficients. For a multi-level transform (

wtrans ='M'

'U'

) the total number of coefficients that would be generated over

l_{\max}

levels and with

keepa ='A'

for MODWT.

8: $icomm (100)$ – Integer array Communication Array

On exit: contains details of the wavelet transform and the problem dimension which is to be communicated to the one-dimensional discrete transform routines in this chapter.

9: $ifail$ – Integer Input/Output

On entry: ifail must be set to

0

−1

1

to set behaviour on detection of an error; these values have no effect when no error is detected.

A value of

0

causes the printing of an error message and program execution will be halted; otherwise program execution continues. A value of

−1

means that an error message is printed while a value of

1

means that it is not.

If halting is not appropriate, the value

−1

1

is recommended. If message printing is undesirable, then the value

1

is recommended. Otherwise, the value

0

is recommended. 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

−1

, explanatory error messages are output on the current error message unit (as defined by x04aaf).

Errors or warnings detected by the routine:

$ifail = 1$: On entry, $wavnam = ⟨ value ⟩$ was an illegal value.

$ifail = 2$: On entry, $wtrans = ⟨ value ⟩$ was an illegal value.

$ifail = 3$: On entry, $mode = ⟨ value ⟩$ was an illegal value.

On entry, $wtrans ='T'$ or $'U'$ and $mode \neq'P'$ .
Constraint: $mode ='P'$ when $wtrans ='T'$ or $'U'$ .

$ifail = 4$: On entry, $n = ⟨ value ⟩$ .
Constraint: $n \geq 2$ .

$ifail = - 99$: An unexpected error has been triggered by this routine. Please contact NAG.
See Section 7 in the Introduction to the NAG Library FL Interface for further information.

$ifail = - 399$: Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library FL Interface for further information.

$ifail = - 999$: Dynamic memory allocation failed.
See Section 9 in the Introduction to the NAG Library FL Interface for further information.

7 Accuracy

Not applicable.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.

c09aaf is not threaded in any implementation.

9 Further Comments

None.

10 Example

This example computes the one-dimensional multi-level resolution for

8

values by a discrete wavelet transform using the Haar wavelet with zero end extensions. The length of the wavelet filter, the number of levels of resolution, the number of approximation coefficients at each level and the total number of wavelet coefficients are printed.

c09aa: FL CL CPP AD PY MB

NAG FL Interfacec09aaf (dim1_​init)

▸▿ Contents

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results

NAG FL Interface
c09aaf (dim1_init)