Difference between revisions of "Infinite Impulse Response Filter"

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Infinite impulse response filters are like finite impulse response filters ([[FIR filter]]), the difference lies in the fact that IIR filters use ''feedback'', for example <math>y(n)=0.5y(n-1))</math> which results in an infinite impulse response.
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'''Infinite impulse response''' ('''IIR''') '''filters''' are like finite impulse response filters ([[Finite Impulse Response Filter|FIR filter]]), the difference lies in the fact that IIR filters use ''feedback'', for example <math>y(n)=0.5y(n-1))</math> which results in an infinite impulse response.
  
 
IIR filters can be very powerful, but they can also be more difficult to design them properly (IIR filters are prone to instability for example, because they are recursive filters).
 
IIR filters can be very powerful, but they can also be more difficult to design them properly (IIR filters are prone to instability for example, because they are recursive filters).

Latest revision as of 19:05, 14 June 2007

Infinite impulse response (IIR) filters are like finite impulse response filters (FIR filter), the difference lies in the fact that IIR filters use feedback, for example y(n)=0.5y(n-1)) which results in an infinite impulse response.

IIR filters can be very powerful, but they can also be more difficult to design them properly (IIR filters are prone to instability for example, because they are recursive filters).