Digital Butterworth Design:
In this experiment, we used Scilab for implementing the code. Scilab is one of the two major open-source alternatives for MATLAB.
In this experiment, the various parameters like pass band attenuation, stop band attenuation, pass band frequency, stop band frequency and sampling frequency are passed as input and the order of the filter is calculated. Similarly, the cutoff frequency is calculated.
The normalized transfer function is evaluated according to the filter type: LPF or HPF (replacing s by 1/s).
From the normalized transfer function, the denormalized function is calculated by substituting the value of cut off frequency.
The frequency bands are complex.
Also, magnitude spectrum is monotonic i.e. varying in one direction.
well designed
ReplyDeleteThanks
DeleteButterworth is better than Chebyshev filters
ReplyDeleteLess ripples
ReplyDeleteNo ripples in pass band
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ReplyDeletetopic well explaipned
ReplyDeleteThanks
DeleteScilab is an open source, cross-platform numerical computational package and a high-level, numerically oriented programming language. It can be used for signal processing, statistical analysis, image enhancement, fluid dynamics simulations, numerical optimization, and modeling, simulation of explicit and implicit dynamical systems and (if the corresponding toolbox is installed) symbolic manipulations.
ReplyDeleteMatlab is used for the same
DeleteIf the order of the two filters in compared, chebyshev gives lower order filter in comparison to butterworth
ReplyDeleteYes
Deletecan be used in amplitude sensitive applications
ReplyDeleteThanks, that was useful
DeleteThe flat passband in Butterworth filters is an advantage while handling real-time signals as it avoids differences in gain of the information signal.
ReplyDeleteThat was useful
DeleteButterworth has no ripples in pass band
ReplyDeleteYes
DeleteThanks, refer to proakis
ReplyDeleteThanks
ReplyDelete