Signals & Systems Questions and Answers – Discrete-Time Systems in the Time-Domain

This set of Signals & Systems Multiple Choice Questions & Answers (MCQs) focuses on “Discrete-Time Systems in the Time-Domain”.

1. Is the function y[n] = cos(x[n]) periodic or not?
a) True
b) False
View Answer

Answer: a
Explanation: ‘y’ will be periodic only if x attains the same value after some time, T. However, if x is a one-one discrete function, it may not be possible for some x[n].

2. If n tends to infinity, is the accumulator function an unstable one?
a) The function is marginally stable
b) The function is unstable
c) The function is stable
d) None of the mentioned
View Answer

Answer: b
Explanation: The system would be unstable, as the output will grow out of bound at the maximally worst possible case.

3. Comment on the causality of the following discrete time system: y[n] = x[-n].
a) Causal
b) Non causal
c) Both Casual and Non casual
d) None of the mentioned
View Answer

Answer: b
Explanation: For positive time, the output depends on the input at an earlier time, giving causality for this portion. However, at a negative time, the output depends on the input at a positive time, i.e. at a time in the future, rendering it non causal.
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4. Comment on the causality of the discrete time system: y[n] = x[n+3].
a) Causal
b) Non Causal
c) Anti Causal
d) None of the mentioned
View Answer

Answer: c
Explanation: The output always depends on the input at a time in the future, rendering it anti-causal.

5. Consider the system y[n] = 2x[n] + 5. Is the function linear?
a) Yes
b) No
View Answer

Answer: b
Explanation: As we give two inputs, x1 and x2, and give an added input x1 and x2, we do not get the corresponding y1 and y2. Thus, additive rule is disturbed and hence the system is not linear.
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6. Comment on the time invariance of the following discrete system: y[n] = x[2n+4].
a) Time invariant
b) Time variant
c) Both Time variant and Time invariant
d) None of the mentioned
View Answer

Answer: b
Explanation: A time shift in the input scale gives double the time shift in the output scale, and hence is time variant.

7. Is the function y[2n] = x[2n] linear in nature?
a) Yes
b) No
View Answer

Answer: a
Explanation: The function obeys both additivity and homogeneity properties. Hence, the function is linear.
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8. How is a linear function described as?
a) Zero in Finite out
b) Zero in infinite out
c) Zero in zero out
d) Zero in Negative out
View Answer

Answer: c
Explanation: The system needs to give a zero output for a zero input so as to conserve the law of additivity, to ensure linearity.

9. Is the system y[n] = x2[n-2] linear?
a) Yes
b) No
View Answer

Answer: b
Explanation: The system is not linear, as x12 + x22 is not equal to (x1 + x2)2.
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10. Is the above system, i.e y[n] = x2[n-2] time invariant?
a) Yes
b) No
View Answer

Answer: a
Explanation: A time shift of t0 will still result in an equivalent time shift of t0 in the output, and hence will be time invariant.

Sanfoundry Global Education & Learning Series – Signals & Systems.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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