User`s guide

Wavelet Analysis
5-530
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
Analysis 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 Analysis block calls the
wfilters function with input argument 'bior2.6'.
See the Wavelet Toolbox decantation for more information about the
wfilters
function. If you want to explicitly specify the FIR coefficients for the analysis
filter bank, use the Dyadic Analysis Filter Bank block.
Tree Structure
The wavelet tree structure has n+1 outputs, where n is the number of levels.
The sample rate and bandwidth of the top output are half the input sample rate
and bandwidth. The sample rate and bandwidth of each additional output
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')