User`s guide

Wavelet Synthesis
5-536
For perfect reconstruction, the Wavelet Synthesis and Wavelet Analysis blocks
must have the same parameter settings.
Filter Coefficients
The filter coefficients for the highpass and lowpass filters are computed by the
Wavelet Toolbox function
wfilters, based on the wavelet specified in the
Wavelet name parameter. The table below lists the available options.
The
Daubechies, Symlets, and Coiflets options enable a secondary Wavelet
order
parameter that allows you to specify the wavelet order. For example, if
you specify a
Daubechies wavelet with Wavelet order equal to 6, the Wavelet
Synthesis block calls the
wfilters function with input argument 'db6'.
The
Biorthogonal and Reverse Biorthogonal options enable a secondary
Filter order [synthesis / analysis] parameter that allows you to
independently specify the wavelet order for the analysis and synthesis filter
stages. For example, if you specify a
Biorthogonal wavelet with Filter order
[synthesis / analysis]
equal to [2/6], the Wavelet Synthesis block calls the
wfilters function with input argument 'bior2.6'.
See the Wavelet Toolbox documentation for more information about the
wfilters function. If you want to explicitly specify the FIR coefficients for the
synthesis filter bank, use the Dyadic Synthesis Filter Bank block.
Wavelet Name Sample Wavelet Function Syntax
Haar
wfilters('haar')
Daubechies
wfilters('db4')
Symlets
wfilters('sym3')
Coiflets
wfilters('coif1')
Biorthogonal
wfilters('bior3.1')
Reverse Biorthogonal
wfilters('rbio3.1')
Discrete Meyer
wfilters('dmey')