Consider a linear time-invariant system such as |H(jw)|= 120,000/ 160,000 + 16w^4. Assume the passband attenuation level is 95% of peak & the stopband attenuation level is 5% of peak. A) characterize the filter as lowpass, highpass, bandpass, or bandstop. B) characterize the filter as active or passive. C) determine the passband and stopband transition frequency, frequencies. D) determine the roll-off ratio/ratios.
Consider a linear time-invariant system such as |H(jw)|= 120,000/ 160,000 + 16w^4. Assume the passband attenuation level is 95% of peak & the stopband attenuation level is 5% of peak. A) characterize the filter as lowpass, highpass, bandpass, or bandstop. B) characterize the filter as active or passive. C) determine the passband and stopband transition frequency, frequencies. D) determine the roll-off ratio/ratios.
Introductory Circuit Analysis (13th Edition)
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Transcribed Image Text:2. (1) Filter is lowpass.
(2) Filter is passive.
(3) Passband transition frequency is 4.79. Stopband transition frequency is 20.88.
(4) Roll-off ratio is 4.36.

Transcribed Image Text:Consider a linear time-invariant system such as [H(jw)|=
120,000/ 160,000 + 16w^4. Assume the passband attenuation
level is 95% of peak & the stopband attenuation level is 5% of
peak.
A) characterize the filter as lowpass, highpass, bandpass, or
bandstop.
B) characterize the filter as active or passive.
C) determine the passband and stopband transition frequency/
frequencies.
D) determine the roll-off ratio/ratios.
Expert Solution

Step 1
To characterize whether the given filter is low pass, high pass or band pass or band stop; Compute the gain at the frequencies shown below;
It is observed that the gain is finite at low frequency and it drops to zero as the frequency approaches infinity. The filter can therefore be classified to be a low pass filter, since gain exists for lower values of frequencies.
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