The task was to design a digital Butterworth filter from an analog filter and with the help of input specifications. Scilab software was used to code and observe the output plot with frequency on x axis and attenuation (in db) on Y axis.
2 cases were studied: i. the low pass filter, ii. the high pass design.
The pass band attenuation(Ap) and stop band attenuation(As) values which were substituted in the code and the same values were later verified with the help of magnitude spectrum for the corresponding analog pass band and stop band frequencies respectively.
From the pole zero plot observed in Scilab we saw that in case of digital LPF, poles lay inside the unit circle, thus the digital filter was stable in nature.
2 cases were studied: i. the low pass filter, ii. the high pass design.
The pass band attenuation(Ap) and stop band attenuation(As) values which were substituted in the code and the same values were later verified with the help of magnitude spectrum for the corresponding analog pass band and stop band frequencies respectively.
From the pole zero plot observed in Scilab we saw that in case of digital LPF, poles lay inside the unit circle, thus the digital filter was stable in nature.
Butterworth is monotonic
ReplyDeleteYes. There are No ripples
DeleteNo ripples in Butterworth filter.
ReplyDeleteTherefore it is monotonic in nature
DeleteTransition width of Butterworth filter is high compared to chebyshev filter
ReplyDeleteButterworth hs no ripples
ReplyDeleteScilab implementation makes the understanding easy .
ReplyDeleteWe can plot the spectrums
DeleteButterworth Filter is called as maximally flat region filter,Its rolloff is dependent on the number of poles.It has applications in radars such as in designing the display of radar target track.
ReplyDeleteThe position can br tracked using this technique
ReplyDeleteWe have to input parameters such as Ap,As,stop band and pass band frequency when we execute the scilab code
ReplyDelete