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Differentiate IIR and FIR systems.

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Differentiate IIR and FIR systems.

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written 7.3 years ago by | • modified 7.3 years ago |

Sr. No. | IIR systems | FIR systems |
---|---|---|

1. | IIR stands for infinite impulse response systems | FIR stands for finite impulse response systems |

2. | IIR filters are less powerful than FIR filters, & require less processing power and less work to set up the filters | FIR filters are more powerful than IIR filters, but also require more processing power and more work to set up the filters |

3. | They are more easy to change "on the fly”. | They are also less easy to change "on the fly" as you can by tweaking (say) the frequency setting of a parametric (IIR) filter |

4. | These are less flexible. | Their,greater power means more flexibility and ability to finely adjust the response of your active loudspeaker. |

5. | It cannot implement linear-phase filtering. | It can implement linear-phase filtering. |

6. | It cannot be used to correct frequency-response errors in a loudspeaker | It can be used to correct frequency-response errors in a loudspeaker to a finer degree of precision than using IIRs |

7. | IIRs can provide good resolution even at low frequencies. | FIRs can be limited in resolution at low frequencies, and the success of applying FIR filters depends greatly on the program that is used to generate the filter coefficients |

8. | Usage is generally more easier than FIR filters. | Usage is generally more complicated and time-consuming than IIR filters |

9. | ||

10. | IIR filter uses current input sample value, past input and output samples to obtain current output sample value. | FIR filter uses only current and past input digital samples to obtain a current output sample value. It does not utilize past output samples. |

11. | Simple IIR equation is mention below.,y(n)= b(0)x(n) + b(1)x(n-1) + b(2)x(n-2) + b(3)x(n-3) + a(1)y(n-1) + a(2)y(n-2) + a(3)y(n-3) | Simple FIR equation is mention below. y(n)= h(0)x(n) + h(1)x(n-1) + h(2)x(n-2) + h(3)x(n-3) + h(4)x(n-4) |

12. | Transfer function of IIR filter will have both zeros and poles and will require less memory than FIR counterpart | Transfer function of FIR filter will have only zeros, need more memory |

13. | IIR filters are not stable as they are recursive in nature and feedback is also involved in the process of calculating output sample values. | FIR filters are preferred due to its linear phase response and also they are non-recursive. Feedback is not involved in FIR, hence they are stable |

14. | IIR filter need more power due to more coefficients in the design. | FIR filter consume low power |

15. | IIR filters have analog equivalent | FIR have no analog equivalent. |

16. | IIR filters are more efficient | FIR filters are less efficient |

17. | IIR filters are used as notch(band stop),band pass functions. | FIR filters are used as anti-aliasing,low pass and baseband filters |

18. | IIR filter need lower order than FIR filter to achieve same performance | FIR filter need higher order than IIR filter to achieve same performance. |

19 | Delay is less than FIR filter. | Delay is more than IIR filter. |

20. | It has higher sensitivity than FIR filter | It has lower sensitivity than IIR filter |

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