Digital Communications Questions and Answers: Noise

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This set of Digital Communication Interview Questions & Answers focuses on ” Noise “.

1. Which noise is useful for dithering?
a) White noise
b) Pink noise
c) Brown noise
d) None of the mentioned
View Answer

Answer: c
Explanation: Brown noise is sometimes useful for dithering.

2. Capacity of a channel can be increased by
a) Increasing channel bandwidth
b) Increasing signal power
c) Both of the mentioned
d) None of the mentioned
View Answer

Answer: c
Explanation: Capacity of channel can be increased by increasing channel bandwidth and also by increasing signal power.

3. Capacity of channel can be increased by reducing in band noise power.
a) True
b) False
View Answer

Answer: a
Explanation: Capacity of a channel can be increased by reducing the in band noise power.

4. Noise has
a) Infinite energy
b) Infinite power
c) Both of the mentioned
d) None of the mentioned
View Answer

Answer: a
Explanation: Noise has infinite energy signal.

5. Thermal noise is
a) Energy signal
b) Power signal
c) Both of the mentioned
d) None of the mentioned
View Answer

Answer: b
Explanation: Thermal noise is considered as power signal as it has infinite energy.

6. Thermal noise is a wide sense stationary process.
a) True
b) False
View Answer

Answer: a
Explanation: Thermal noise is modeled as wide sense stationary stochastic process.

7. The maximum likelihood function is
a) Positive
b) Negative
c) Any of the mentioned
d) None of the mentioned
View Answer

Answer: a
Explanation: The maximum likelihood function is always positive.

8. Matched filtering operation includes
a) Spectral phase matching
b) Spectral amplitude matching
c) Both of the mentioned
d) None of the mentioned
View Answer

Answer: c
Explanation: Matched filtering includes two operations – spectral amplitude matching and spectral phase matching.

9. Matched filter is
a) Linear
b) Non linear
View Answer

Answer: a
Explanation: Matched filter is a linear filter.

10. Which consists of less ISI?
a) Nyquist filter
b) Raised cosine filter
c) Both of the mentioned
d) None of the mentioned
View Answer

Answer: b
Explanation: Raised cosine filter results in less ISI than Nyquist filter.

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