This set of Digital Signal Processing Multiple Choice Questions & Answers (MCQs) focuses on “Design of Low Pass Butterworth Filters-1”.
1. Which of the following is a frequency domain specification?
a) 0 ≥ 20 log|H(jΩ)|
b) 20 log|H(jΩ)| ≥ KP
c) 20 log|H(jΩ)| ≤ KS
d) All of the mentioned
View Answer
Explanation: We are required to design a low pass Butterworth filter to meet the following frequency domain specifications.
KP ≤ 20 log|H(jΩ)| ≤ 0
and 20 log|H(jΩ)| ≤ KS.
2. What is the value of gain at the pass band frequency, i.e., what is the value of KP?
a) -10 \(log [1-(\frac{\Omega_P}{\Omega_C})^{2N}]\)
b) -10 \(log [1+(\frac{\Omega_P}{\Omega_C})^{2N}]\)
c) 10 \(log [1-(\frac{\Omega_P}{\Omega_C})^{2N}]\)
d) 10 \(log [1+(\frac{\Omega_P}{\Omega_C})^{2N}]\)
View Answer
Explanation: We know that the formula for gain is K = 20 log|H(jΩ)|
We know that
\(|H(j\Omega)|=\frac{1}{\sqrt{(1+(\frac{\Omega}{\Omega_C})^{2N}}}\)
By applying 20log on both sides of above equation, we get
K = 20 \(log|H(j \Omega)|=-20 [log[1+(\frac{\Omega}{\Omega_C})^{2N}]]^{1/2}\)
= -10 \(log[1+(\frac{\Omega}{\Omega_C})^{2N}]\)
We know that K= KP at Ω=ΩP
=> KP=-10 \(log[1+(\frac{\Omega_P}{\Omega_C})^{2N}]\).
3. What is the value of gain at the stop band frequency, i.e., what is the value of KS?
a) -10 \(log[1+(\frac{\Omega_S}{\Omega_C})^{2N}]\)
b) -10 \(log[1-(\frac{\Omega_S}{\Omega_C})^{2N}]\)
c) 10 \(log[1-(\frac{\Omega_S}{\Omega_C})^{2N}]\)
d) 10 \(log[1+(\frac{\Omega_S}{\Omega_C})^{2N}]\)
View Answer
Explanation: We know that the formula for gain is
K = 20 log|H(jΩ)|
We know that
\(|H(j \Omega)|=\frac{1}{\sqrt{(1+(\frac{\Omega}{\Omega_C})^{2N}}}\)
By applying 20log on both sides of above equation, we get
K = 20 \(log|H(j\Omega)|=-20 [log[1+(\frac{\Omega}{\Omega_C})^{2N}]]^{1/2}\)
= -10 \(log[1+(\frac{\Omega}{\Omega_C})^{2N}]\)
We know that K= KS at Ω=ΩS
=> KS=-10 \(log[1+(\frac{\Omega_S}{\Omega_C})^{2N}]\).
4. Which of the following equation is True?
a) \([\frac{\Omega_P}{\Omega_C}]^{2N} = 10^{-K_P/10}+1\)
b) \([\frac{\Omega_P}{\Omega_C}]^{2N} = 10^{K_P/10}+1\)
c) \([\frac{\Omega_P}{\Omega_C}]^{2N} = 10^{-K_P/10}-1\)
d) None of the mentioned
View Answer
Explanation: We know that,
KP=-10 \(log[1+(\frac{\Omega_P}{\Omega_C})^{2N}]\)
=>\([\frac{Ω_P}{Ω_C}]^{2N} = 10^{\frac{-K_P}{10}}-1\)
5. Which of the following equation is True?
a) \([\frac{\Omega_S}{\Omega_C} ]^{2N} = 10^{-K_S/10}+1\)
b) \([\frac{\Omega_S}{\Omega_C} ]^{2N} = 10^{K_S/10}+1\)
c) \([\frac{\Omega_S}{\Omega_C} ]^{2N} = 10^{-K_S/10}-1\)
d) None of the mentioned
View Answer
Explanation: We know that,
KP=-10 \(log[1+(\frac{\Omega_S}{\Omega_C})^{2N}]\)
=>\([\frac{Ω_S}{Ω_C}]^{2N} = 10^{\frac{-K_S}{10}}-1\)
6. What is the order N of the low pass Butterworth filter in terms of KP and KS?
a) \(\frac{log[(10^\frac{K_P}{10}-1)/(10^\frac{K_s}{10}-1)]}{2 log(\frac{\Omega_P}{\Omega_S})}\)
b) \(\frac{log[(10^\frac{K_P}{10}+1)/(10^\frac{K_s}{10}+1)]}{2 log(\frac{\Omega_P}{\Omega_S})}\)
c) \(\frac{log[(10^\frac{-K_P}{10}+1)/(10^\frac{-K_s}{10}+1)]}{2 log(\frac{\Omega_P}{\Omega_S})}\)
d) \(\frac{log[(10^\frac{-K_P}{10}-1)/(10^\frac{-K_s}{10}-1)]}{2 log(\frac{\Omega_P}{\Omega_S})}\)
View Answer
Explanation:
We know that, \([\frac{Ω_P}{Ω_C}]^{2N} = 10^{-K_P/10}-1\) and \([\frac{Ω_P}{Ω_C}]^{2N} = 10^{-K_S/10}-1\).
By dividing the above two equations, we get
=> \([Ω_P/Ω_S]^{2N} = (10^{-K_S/10}-1)(10^{-K_P/10}-1)\)
By taking log in both sides, we get
=> N=\(\frac{log[(10^\frac{-K_P}{10}-1)/(10^\frac{-K_s}{10}-1)]}{2 log(\frac{\Omega_P}{\Omega_S})}\).
7. What is the expression for cutoff frequency in terms of pass band gain?
a) \(\frac{\Omega_P}{(10^{-K_P/10}-1)^{1/2N}}\)
b) \(\frac{\Omega_P}{(10^{-K_P/10}+1)^{1/2N}}\)
c) \(\frac{\Omega_P}{(10^{K_P/10}-1)^{1/2N}}\)
d) None of the mentioned
View Answer
Explanation: We know that,
\([\frac{Ω_P}{Ω_C}]^{2N} = 10^{-K_P/10}-1\)
=> \(Ω_C = \frac{Ω_P}{(10^{-K_P/10}-1)^{1/2N}}\).
8. What is the expression for cutoff frequency in terms of stop band gain?
a) \(\frac{\Omega_S}{(10^{-K_S/10}-1)^{1/2N}}\)
b) \(\frac{\Omega_S}{(10^{-K_S/10}+1)^{1/2N}}\)
c) \(\frac{\Omega_S}{(10^{K_S/10}-1)^{1/2N}}\)
d) None of the mentioned
View Answer
Explanation: We know that,
\([\frac{Ω_S}{Ω_C}]^{2N} = 10^{-K_S/10}-1\)
=> \(Ω_C = \frac{Ω_S}{(10^{-K_S/10}-1)^{1/2N}}\).
9. The cutoff frequency of the low pass Butterworth filter is the arithmetic mean of the two cutoff frequencies as found above.
a) True
b) False
View Answer
Explanation: The arithmetic mean of the two cutoff frequencies as found above is the final cutoff frequency of the low pass Butterworth filter.
10. What is the lowest order of the Butterworth filter with a pass band gain KP=-1 dB at ΩP=4 rad/sec and stop band attenuation greater than or equal to 20dB at ΩS = 8 rad/sec?
a) 4
b) 5
c) 6
d) 3
View Answer
Explanation: We know that the equation for the order of the Butterworth filter is given as
N=\(\frac{log[(10^{-K_P/10}-1)/(10^{-K_s/10}-1)]}{2 log(\frac{Ω_P}{Ω_S})}\)
From the given question,
KP=-1 dB, ΩP= 4 rad/sec, KS=-20 dB and ΩS= 8 rad/sec
Upon substituting the values in the above equation, we get
N=4.289
Rounding off to the next largest integer, we get N=5.
Sanfoundry Global Education & Learning Series – Digital Signal Processing.
To practice all areas of Digital Signal Processing, here is complete set of 1000+ Multiple Choice Questions and Answers.
If you find a mistake in question / option / answer, kindly take a screenshot and email to [email protected]