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Test: Digital Filters Design Consideration


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10 Questions MCQ Test Signals and Systems | Test: Digital Filters Design Consideration

Test: Digital Filters Design Consideration for Electrical Engineering (EE) 2022 is part of Signals and Systems preparation. The Test: Digital Filters Design Consideration questions and answers have been prepared according to the Electrical Engineering (EE) exam syllabus.The Test: Digital Filters Design Consideration MCQs are made for Electrical Engineering (EE) 2022 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Digital Filters Design Consideration below.
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Test: Digital Filters Design Consideration - Question 1

The ideal low pass filter cannot be realized in practice.

Detailed Solution for Test: Digital Filters Design Consideration - Question 1

Explanation: We know that the ideal low pass filter is non-causal. Hence, a ideal low pass filter cannot be realized in practice.

Test: Digital Filters Design Consideration - Question 2

The following diagram represents the unit sample response of which of the following filters?

Detailed Solution for Test: Digital Filters Design Consideration - Question 2

Explanation: At n=0, the equation for ideal low pass filter is given as h(n)=ω/π.
From the given figure, h(0)=0.25=>ω=π/4.
Thus the given figure represents the unit sample response of an ideal low pass filter at ω=π/4.

Test: Digital Filters Design Consideration - Question 3

If h(n) has finite energy and h(n)=0 for n<0, then which of the following are true?

Detailed Solution for Test: Digital Filters Design Consideration - Question 3

Explanation: If h(n) has finite energy and h(n)=0 for n<0, then according to the Paley-Wiener theorem, we have

Test: Digital Filters Design Consideration - Question 4

 If |H(ω)| is square integrable and if the integralis finite, then the filter with the frequency response  

Detailed Solution for Test: Digital Filters Design Consideration - Question 4

Explanation: If |H(ω)| is square integrable and if the integral  is finite, then we can associate with |H(ω)| and a phase response θ(ω), so that the resulting filter with the frequency response H(ω)=|H(ω)|ejθ(ω) is causal.

Test: Digital Filters Design Consideration - Question 5

The magnitude function |H(ω)| can be zero at some frequencies, but it cannot be zero over any finite band of frequencies.

Detailed Solution for Test: Digital Filters Design Consideration - Question 5

Explanation: One important conclusion that we made from the Paley-Wiener theorem is that the magnitude function |H(ω)| can be zero at some frequencies, but it cannot be zero over any finite band of frequencies, since the integral then becomes infinite. Consequently, any ideal filter is non-causal.

Test: Digital Filters Design Consideration - Question 6

 If h(n) is causal and h(n)=he(n)+ho(n),then what is the expression for h(n) in terms of only he(n)? 

Detailed Solution for Test: Digital Filters Design Consideration - Question 6

Explanation: Given h(n) is causal and h(n)= he(n)+ho(n)
=>he(n)=1/2[h(n)+h(-n)] Now, if h(n) is causal, it is possible to recover h(n) from its even part he(n) for 0≤n≤∞ or from its odd component ho(n) for 1≤n≤∞.
=>h(n)= 2he(n)u(n)-he(0)δ(n) ,n ≥ 0.

Test: Digital Filters Design Consideration - Question 7

 If h(n) is causal and h(n)=he(n)+ho(n),then what is the expression for h(n) in terms of only ho(n)? 

Detailed Solution for Test: Digital Filters Design Consideration - Question 7

Explanation: Given h(n) is causal and h(n)= he(n)+ho(n)
=>he(n)=1/2[h(n)+h(-n)] Now, if h(n) is causal, it is possible to recover h(n) from its even part he(n) for 0≤n≤∞ or from its odd component ho(n) for 1≤n≤∞.
=>h(n)= 2ho(n)u(n)+h(0)δ(n) ,n ≥ 1
since ho(n)=0 for n=0, we cannot recover h(0) from ho(n) and hence we must also know h(0).

Test: Digital Filters Design Consideration - Question 8

 If h(n) is absolutely summable, i.e., BIBO stable, then the equation for the frequency response H(ω) is given as? 

Detailed Solution for Test: Digital Filters Design Consideration - Question 8

Explanation: . If h(n) is absolutely summable, i.e., BIBO stable, then the frequency response H(ω) exists and
H(ω)= HR(ω)+j HI(ω)
where HR(ω) and HI(ω) are the Fourier transforms of he(n) and ho(n) respectively.

Test: Digital Filters Design Consideration - Question 9

 HR(ω) and HI(ω) are interdependent and cannot be specified independently when the system is causal.

Detailed Solution for Test: Digital Filters Design Consideration - Question 9

Explanation: Since h(n) is completely specified by he(n), it follows that H(ω) is completely determined if we know HR(ω). Alternatively, H(ω) is completely determined from HI(ω) and h(0). In short, HR(ω) and HI(ω) are interdependent and cannot be specified independently when the system is causal.

Test: Digital Filters Design Consideration - Question 10

 The frequency ωP is called as:

Detailed Solution for Test: Digital Filters Design Consideration - Question 10

Explanation: Pass band edge ripple is the frequency at which the pass band starts transiting to the stop band.

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