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| 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. | 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. |
| 10. | 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) |
| 11. | 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 |
| 12. | 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 |
| 13. | IIR filter need more power due to more coefficients in the design. | FIR filter consume low power |
| 14. | IIR filters have analog equivalent | FIR have no analog equivalent. |
| 15. | IIR filters are more efficient | FIR filters are less efficient |
| 16. | IIR filters are used as notch(band stop),band pass functions. | FIR filters are used as anti-aliasing,low pass and baseband filters |
| 17. | IIR filter need lower order than FIR filter to achieve same performance | FIR filter need higher order than IIR filter to achieve same performance. |
| 18 | Delay is less than FIR filter. | Delay is more than IIR filter. |
| 19. | It has higher sensitivity than FIR filter | It has lower sensitivity than IIR filter |
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