In this experiment, Butterworth filters were designed using Scilab. By giving the values of pass band attenuation (Ap), stop band attenuation (As), pass band frequency (Fpass), stop band frequency (Fstop), sampling frequency (Fs) as inputs Low Pass and High pass filters were designed.
As a result order of the filter, cutoff frequency, normalised H(s), denormalised H^(s) and transfer function H(Z) was obtained.
The pole-zero plot and magnitude response were observed. From the magnitude response it can be concluded that Butterworth filter is monotonic as it does'nt have any ripple in its pass band and stop band.
As a result order of the filter, cutoff frequency, normalised H(s), denormalised H^(s) and transfer function H(Z) was obtained.
The pole-zero plot and magnitude response were observed. From the magnitude response it can be concluded that Butterworth filter is monotonic as it does'nt have any ripple in its pass band and stop band.
Since Butterworth Filter has a flat response in its pass band, it finds application in audio processing.
With increase in order of the filter, transition becomes steeper and hence distortion decreases.
ReplyDeleteWhich has higher order? Chebyshev or butterworth?
ReplyDeletebutterworth has a higher order
DeleteThe response is free of ripples in pass band.
ReplyDeleteThere no ripple in the response unlike Chebshev filter
ReplyDeleteEasy to understand blog
ReplyDeleteThanks!!
DeleteThanks:)
ReplyDelete