Monday, 24 April 2017

DIGITAL BUTTERWORTH FILTER DESIGN

    The aim of this experiment was to design digital butterworth filter. This experiment was 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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9 comments:

  1. Unknown25 April 2017 at 21:58

    butterworth filter is better compared to chebyshev filter as it does not have ripple in pass band

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  2. Unknown25 April 2017 at 22:36

    Yes it is monotonic..so an approximate vale of magnitude can be predicted for a value of frequency.

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  3. Unknown25 April 2017 at 23:54

    Butterworth filter has as flat frequency response as possible in the passband.

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  4. shrinish_00126 April 2017 at 01:10

    it is also referred as a maximally flat magnitude filter. The rate of falloff response of the filter is determined by the number of poles taken in the circuit

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  5. Unknown26 April 2017 at 12:14

    What was the sampling frequency taken?

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  6. Unknown28 April 2017 at 05:21

    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 05:27

    Wide transition band is a disadvantage

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  8. Ankesh Patil28 April 2017 at 06:12

    No ripples in Butterworth filter

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  9. Unknown28 April 2017 at 07:17

    As the order increases the accuracy also increases.

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