In the previous blogs, we saw the implementation of various mathematical digital signal processing operations that can be performed on the input signal.
However, the main essence of a processor is to implement a digital filter which can emulate similar characteristics as that of an analog filter.
Here, to simulate the behavior of digital filters, Scilab Software is used. Scilab provides an easy interface for coding and can also generate frequency response curves using in-built functions.
In this blog, a digital Butterworth Filter is implemented. A butterworth filter is a type of a signal processing filter designed to have a maximally flat magnitude response. Initially, the parameters of the required filter such as Passband Attenuation, Passband Frequency, Stopband Attenuation and Stopband Frequency are inputted by the user. Based on these parameters, a digital butterworth filter (LPF or HPF) was designed using Bi-Linear Transformation(BLT) Method. Once, the digital filter was designed, order and transfer function was displayed and magnitude response of the filter was shown.
However, the main essence of a processor is to implement a digital filter which can emulate similar characteristics as that of an analog filter.
Here, to simulate the behavior of digital filters, Scilab Software is used. Scilab provides an easy interface for coding and can also generate frequency response curves using in-built functions.
In this blog, a digital Butterworth Filter is implemented. A butterworth filter is a type of a signal processing filter designed to have a maximally flat magnitude response. Initially, the parameters of the required filter such as Passband Attenuation, Passband Frequency, Stopband Attenuation and Stopband Frequency are inputted by the user. Based on these parameters, a digital butterworth filter (LPF or HPF) was designed using Bi-Linear Transformation(BLT) Method. Once, the digital filter was designed, order and transfer function was displayed and magnitude response of the filter was shown.
Informative!
ReplyDeleteThank u
DeleteUseful Info nicely written.The filter has several advantages like- its magnitude response is monotonous but the disadvantage is its higher order causes difficulty in its implementation.
ReplyDeleteYes, also the roll-off of butterworth filters are not steep.
DeleteHence, chebyshev is preferred in most of the applications
DeleteGood explanation of Digital Filters.
ReplyDeleteThere are other blogs as well to look forward to.
DeleteConceptually good content
ReplyDeleteThank u.There are other blogs as well. check them out.
DeleteButterworth has no ripple in pass band
ReplyDeleteYes, it has no ripple in stop band as well as pass band!
Deleteconcept was good
ReplyDeleteThank u. Thank u.There are other blogs as well. check them out.
DeleteMaximally flat passband is a major advantage while processing low frequency signals.
ReplyDeleteYes, but it causes low roll off
Deletespecified the input to the filter design
ReplyDeleteUse of BLT allows one to one mapping of all the frequencies.
ReplyDeleteHence, IIM is avoided
DeleteButterworth gives high order responses.
ReplyDelete