filter a signal with a finite impulse response filter
InfiniteImpulseResponseFilter( A, taps, delayline )
Array of real numeric values; the signal to filter
Array of real numeric values; the tap coefficients
(optional) Array of real numeric values; initial values for the delay line
container : Array, predefined Array for holding the result
The InfiniteImpulseResponseFilter( A, taps, delayline ) command filters the signal (sample) in the array A using the tap coefficients in the array taps. The taps array may be generated by using the GenerateButterworthTaps and GenerateChebyshev1Taps commands, or you may provide your own custom filtering coefficients.
The delayline argument is optional. If delayline is provided, it must be an Array of real numeric values and the same length as taps.
Before the code performing the computation runs, the input Arrays A, taps, and (if present) delayline are converted to datatype float if they do not have that datatype already. For this reason, it is most efficient if the input Arrays have this datatype beforehand.
If the container=C option is provided, then the results are put into C and C is returned. With this option, no additional memory is allocated to store the result. The container must be an Array of size equal to the size of A and having datatype float.
The SignalProcessing[InfiniteImpulseResponseFilter] command is thread-safe as of Maple 17.
For more information on thread safety, see index/threadsafe.
A ≔ GenerateJaehne⁡512,4095:
PA ≔ listplot⁡A,'title'=Original Signal:
taps ≔ GenerateButterworthTaps⁡9,310,'filtertype'=highpass
taps ≔ 1 .. 20 ArrayData Type: float8Storage: rectangularOrder: C_order
B ≔ InfiniteImpulseResponseFilter⁡A,taps:
PB ≔ listplot⁡B,'title'=Filtered Signal:
The SignalProcessing[InfiniteImpulseResponseFilter] command was introduced in Maple 17.
For more information on Maple 17 changes, see Updates in Maple 17.
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