IFDL Filter Designs
IFDL can design FIR filters using the following techniques:
- Kaiser´s Maximum Flatness design.
- Kaiser´s window method.
- McClellan-Parks-Rabiner equiripple method :
- low pass
- high pass
- band pass
- band reject
- arbitrary response
- Hilbert transformers
- Window method using these standard windows:
- (The user can easily add other windows)
IIR filters can be implemented using a Direct Form I or Cascaded Bi-Quad Direct Form II filter:
IFDL automatically applies the current filter design to ideal or real data you select, whenever you request it or whenever you change a filter design parameter for instant feedback on how the filter will affect the data.
IFDL graphically compares two FIR filter's frequency, impulse, and step responses:
You can apply the designed filters in other experiments by importing the saved filter coefficients and combining them with your data: