This experiment was performed using Scilab which is the open source alternative to MATLAB.We designed both filters i.e. HPF and LPF using Scilab coding.
Here the parameters like passband attenuation (Ap),stopband attenuation (As),analog passband frequency (fp),analog stopband frequency (fs) and sampling frequency (Fs).were taken as inputs. Sampling frequency selected is 4 times higher than fp or fs.
The observed value of 'Ap' is less than input value whereas for 'As', it was found as greater. The order of the filter obtained was higher than 10 for each of the filter.
The frequency bands are complex.Also,magnitude spectrum is monotonic i.e varying in one condition.
Here the parameters like passband attenuation (Ap),stopband attenuation (As),analog passband frequency (fp),analog stopband frequency (fs) and sampling frequency (Fs).were taken as inputs. Sampling frequency selected is 4 times higher than fp or fs.
The observed value of 'Ap' is less than input value whereas for 'As', it was found as greater. The order of the filter obtained was higher than 10 for each of the filter.
The frequency bands are complex.Also,magnitude spectrum is monotonic i.e varying in one condition.
well explained
ReplyDeletenice content!
ReplyDeleteInformative content with good explanation.
ReplyDeleteThank you
Deletebasic filter designing is nicely explained
ReplyDeleteThank you
DeleteHowever, its roll off is not steep
ReplyDeleteNiCe
ReplyDeleteScilab is good platform for waveform analysis....
ReplyDeleteAlso coding is easy!!
DeleteIts higher order for analog filter is the reason for its implementation using Digital filter design.
ReplyDeleteTransition width is more when compared with chebyshev filter
ReplyDeleteand that's why roll off is not steep
DeleteThe roll off characteristics of Butterworth filter are less are less steeper than chebyshev
ReplyDeleteYes true
Delete