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The published members of the TSignalFilter class are listed here.

 
Name 
Description 
 
If True, the Order/FirLength of the IIR/FIR filters will be automatically estimed.  
 
Beta 
Beta is the parameter for the Kaiser window. 
 
The phase delay (must be less then DownSample) used by the multi-rate FIR filter.  
 
The downsample factor used by the multi-rate FIR filter.  
 
Set this property to True, if you have defined your own filter response and have placed the taps in the Taps property.  
 
Holds a list of defined filters.  
 
Defines the length of the FIR/Median filter, if the AutoFilterOrder property is false.  
 
Specifies the FIR filter design method to be used.  
 
Defines the combined fractional delay of the input signal (integer + fraction).  
 
Defines the FIR filter properties used for fractional delay filtering.  
 
Grid density used by the remez exchange algorithm for optimal FIR filter design.  
 
Set it to True, if you want to explicitelly define the Beta parameter for the Kaiser window, when designing a FIR filter windowed with a Kaiser window.  
 
Specifies the IIR frequency transformation method to use.  
 
Specifies the IIR filter design method to be used.  
 
Must be "Hidden" unless it is published 
 
The value of the normalized frequency used when defining multiband filters.  
 
Defines the order of the IIR filters, if AutoFilterOrder is false.  
 
Specifies the type of the filter, to be designed.  
 
Defines the factor by which to multiply the input signal.  
 
Taps 
Holds the taps for the filter.  
 
The phase delay (must be less then UpSample) used by the multi-rate FIR filter.  
 
The upsample factor used by the multi-rate FIR filter.  
 
True, if you want to normalize the frequency of the defined bands.  
 
Set the wavelet to be used for wavelete decomposition.  
 
Selects the result of wavelet decomposition.  
 
Defines the first wavelet parameter (if required).  
 
Defines the second wavelet parameter (if required.)  
 
Specifies the window type to be used when designing windowed FIR filters.  
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