SimuWave requires a pair of perfect reconstruction filter
banks to work. These filters are generated by the mask of
the "Wavelet filters" block and they are available to the
blocks within. Putting all of your blocks inside "Wavelet
filters" ensures the consistency of your wavelet data: they
will use the same filters, same time step etc... The popup menu lets you specify which wavelet class you
wish to use. You specify below the scale depth which will be used in
your filter cascades. The input sample times is the base sampling interval of
the discrete data to be processed. Typically, you will use a
block sampler on a continuous timle signal at the
corresponding rate before processing it with SimuWave
blocks. The number of vanishing moments completely determines the
filters in the wavelet class specified by the popup menu.
For orthogonal wavelets (e.g., conjugate mirror filters),
the second moment parameter is ignored. The checkbox at the bottom allows you to plot the
wavelets and scaling functions every time the settings are
modified. May may get tired of this rather quickly. Do not forget to have a look at the demos!