nag_wfilt (c09aac) 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 function 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 function must be called before any of the one-dimensional discrete transform functions in this chapter.
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,
, of the input data array,
, nag_wfilt (c09aac) returns the dimension details for the transform determined by this combination. The dimension details are:
, the maximum number of levels of resolution that that could be computed were a multi-level DWT/MODWT applied;
, the filter length;
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
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 functions in this chapter.
: the name of the mother wavelet. See the c09 Chapter Introduction
- Haar wavelet.
- , where
- Daubechies wavelet with vanishing moments ( coefficients). For example, is the name for the Daubechies wavelet with vanishing moments ( coefficients).
- , where can be one of 1_1, 1_3, 1_5, 2_2, 2_4, 2_6, 2_8, 3_1, 3_3, 3_5 or 3_7
- Biorthogonal wavelet of order .. For example is the name for the Biorthogonal wavelet of order .
, , , , , , , , , , , , , , , , , , , or .
: the type of discrete wavelet transform that is to be applied.
- Single-level decomposition or reconstruction by discrete wavelet transform.
- Multiresolution, by a multi-level DWT or its inverse.
- Single-level decomposition or reconstruction by maximal overlap discrete wavelet transform.
- Multi-level resolution by a maximal overlap discrete wavelet transform or its inverse.
, , or .
: the end extension method. Note that only periodic end extension is currently available for the MODWT.
- Periodic end extension.
- Half-point symmetric end extension.
- Whole-point symmetric end extension.
- Zero end extension.
- , , or for DWT;
- for MODWT.
On entry: the number of elements, , in the input data array, .
– Integer *Output
On exit: the maximum number of levels of resolution, , that can be computed when a multi-level discrete wavelet transform is applied. It is such that , for an integer.
– Integer *Output
On exit: the filter length, , for the supplied mother wavelet. This is used to determine the number of coefficients to be generated by the chosen transform.
– Integer *Output
On exit: for a single-level transform ( or ), 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 ( or ) the total number of coefficients that would be generated over levels and with for MODWT.
– IntegerCommunication Array
On exit: contains details of the wavelet transform and the problem dimension which is to be communicated to the one-dimensional discrete discrete transform functions in this chapter.
– NagError *Input/Output
The NAG error argument (see Section 3.6
in the Essential Introduction).