Tuesday, 25 April 2017

Butterworth filter

This experiment was also performed using Scilab. The input parameters were passband attenuation(Ap), stopband attenuation(As), passband frequency(Fp), stopband frequency(Fs) and sampling frequency(F).The theoretical and observed values of Ap and As were compared.
It was observed that all the poles lie in the unit circle for high pass and low pass digital filter. Thus, the filters are stable. Greater the order of filter, greater is the accuracy in the theoretical and observed values. 
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11 comments:

  1. Unknown25 April 2017 at 22:23

    IIR filters though easy to implement but requires more memory & is computationally not efficient

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  2. Unknown25 April 2017 at 22:26

    Butterworth filter has no ripple in basspand as well as in stopband

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  3. Unknown25 April 2017 at 22:26

    Butterworth filter has no ripple in basspand as well as in stopband

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  4. Unknown28 April 2017 at 04:57

    Windowing method and FSM method can be used to design Butterworth Filter

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  5. Unknown28 April 2017 at 04:57

    This comment has been removed by the author.

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  6. Unknown28 April 2017 at 05:14

    We have to input parameters such as Ap,As,stop band and pass band frequency when we execute the scilab code

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  7. Unknown28 April 2017 at 05:43

    Least order should be 1

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  8. Tony28 April 2017 at 05:45

    Digital Butterworth filter can be designed using BLT and IIM method

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  9. Akash Bangera28 April 2017 at 05:54

    This comment has been removed by the author.

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  10. Akash Bangera28 April 2017 at 05:56

    Wide transition band is a disadvantage

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  11. Ankesh Patil28 April 2017 at 06:12

    No ripples in Butterworth filter

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