Th filter was designed just the way it was discussed in the class. The input parameters were As Ap Pass Band the input parameters As ,Ap pass band frequency and stop band frequency and sampling frequency.The pole zero plot was also drawn and the values of As and Ap were compared from the magnitude spectrum. The poles lie within the unit cirle. The number of ripples representated the order of the filter. We observed the following things :
1. In the magnitude response of the Low Pass Filter there were ripples in the pass band whereas the stop band is monotonic and there is no ripple.
2. In the magnitude response of the High Pass, there were ripple in the pass band whereas the response is monotonic in the stop band.
http://preranasarode1995.blogspot.com/2016/04/chebyshev-filter-design.html
Try a 96th order filter , it almost resembles an ideal filter
ReplyDeleteHigher the order of a filter better the resemblance with an ideal filter.
ReplyDeleteYes agreed but for the same input specifications for Butterworth and Chebyshev Filter, Chebyshev filter had a smaller order, which means it is better for real world applications as less order translates to less components required to build the filter and so less cost.
ReplyDeleteChebyshev Filter has a higher roll off than butterworth filter hence the transition band is smaller.
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