Inception of the work on Scilab.
The aim which has to be achieved and the contents of this experiments are as follows :
Design of Analog and digital Butterworth filterDesign of analog filter is done by calculating normalized and denormalized filter and then using BLT to find digital filter trnasfer function. magnitude response of Digital low pass filter and digital high pass filter was plotted. On a comparision of therotical values and observed values and observing th pole zero plots we concluded that observed values approach therotical values from response for LPF and HPF.
https://drive.google.com/open?id=0BxKOmgoubcmEcV84anhPZnNveGs
The aim which has to be achieved and the contents of this experiments are as follows :
Design of Analog and digital Butterworth filterDesign of analog filter is done by calculating normalized and denormalized filter and then using BLT to find digital filter trnasfer function. magnitude response of Digital low pass filter and digital high pass filter was plotted. On a comparision of therotical values and observed values and observing th pole zero plots we concluded that observed values approach therotical values from response for LPF and HPF.
https://drive.google.com/open?id=0BxKOmgoubcmEcV84anhPZnNveGs
Butterworth filter has no ripples in both pass band and stop band which is an advantage.
ReplyDeleteOrder of Butterworth is more than Chebyshev for same input parameters
ReplyDeleteThis comment has been removed by the author.
ReplyDeleteFilters are networks that process signals in a frequency-dependent manner. The basic
ReplyDeleteconcept of a filter can be explained by examining the frequency dependent nature of the
impedance of capacitors and inductors. Consider a voltage divider where the shunt leg is
a reactive impedance. As the frequency is changed, the value of the reactive impedance
changes, and the voltage divider ratio changes. This mechanism yields the frequency
dependent change in the input/output transfer function that is defined as the frequency response. It is interesting to see applications of analog filters in Signal Processing applications. It woulfve been better if you had mentioned order of butterworth/chebyshev filter you have simulated.
Filters are networks that process signals in a frequency-dependent manner. The basic
ReplyDeleteconcept of a filter can be explained by examining the frequency dependent nature of the
impedance of capacitors and inductors. Consider a voltage divider where the shunt leg is
a reactive impedance. As the frequency is changed, the value of the reactive impedance
changes, and the voltage divider ratio changes. This mechanism yields the frequency
dependent change in the input/output transfer function that is defined as the frequency response. It is interesting to see applications of analog filters in Signal Processing applications. It woulfve been better if you had mentioned order of butterworth/chebyshev filter you have simulated.
Dear sir,
ReplyDeleteWe have designed fourth order filter