This is an IIR filter design technique where the magnitude response of the filter has ripples. We designed Chebyshev-I filter which has ripples in the pass band. The number of peak and valley points of the ripple gives the order of the filter.
A Low pass filter and a high pass filter were designed with the input values of stop band attenuation, stop band attenuation ,pass band frequency, stop band frequency and sampling frequency. BLT Method of digital filter design was used to find the transfer function from the analog filter response. The analog filter was designed with the help of formulae. The observed values in the magnitude response were found to be close to the input values.
A Low pass filter and a high pass filter were designed with the input values of stop band attenuation, stop band attenuation ,pass band frequency, stop band frequency and sampling frequency. BLT Method of digital filter design was used to find the transfer function from the analog filter response. The analog filter was designed with the help of formulae. The observed values in the magnitude response were found to be close to the input values.
Chebyshev is better because it requires less order for same input parameters as compared to Butterworth filter.
ReplyDeleteIn chebyshev filter there ripples in pass band but monotonic in stop band
ReplyDeleteWhich method is better?
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DeleteBLT is better
DeleteChebyshev filter has two types : Chebyshev 1 and Chebyshev 2
ReplyDeleteHow to distinguish between chebyshev and butterworth?
ReplyDeleteMinimum order can be 2
ReplyDeletewe observe ripples in the magnitude spectrum
ReplyDeleteRipples are found in the spectrum
ReplyDeleteRipples determine the order of the systems.
ReplyDelete