Digital Communications Questions and Answers – Information and Coding

This set of Digital Communications Multiple Choice Questions & Answers (MCQs) focuses on “Information and Coding”.

1. Self information should be
a) Positive
b) Negative
c) Positive & Negative
d) None of the mentioned
View Answer

Answer: a
Explanation: Self information is always non negative.

2. The unit of average mutual information is
a) Bits
b) Bytes
c) Bits per symbol
d) Bytes per symbol
View Answer

Answer: a
Explanation: The unit of average mutual information is bits.

3. When probability of error during transmission is 0.5, it indicates that
a) Channel is very noisy
b) No information is received
c) Channel is very noisy & No information is received
d) None of the mentioned
View Answer

Answer: c
Explanation: When probability of error during transmission is 0.5 then the channel is very noisy and thus no information is received.
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4. Binary Huffman coding is a
a) Prefix condition code
b) Suffix condition code
c) Prefix & Suffix condition code
d) None of the mentioned
View Answer

Answer: a
Explanation: Binary Huffman coding is a prefix condition code.

5. The event with minimum probability has least number of bits.
a) True
b) False
View Answer

Answer: b
Explanation: In binary Huffman coding the event with maximum probability has least number of bits.
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6. The method of converting a word to stream of bits is called as
a) Binary coding
b) Source coding
c) Bit coding
d) Cipher coding
View Answer

Answer: b
Explanation: Source coding is the method of converting a word to stream of bits that is 0’s and 1’s.

7. When the base of the logarithm is 2, then the unit of measure of information is
a) Bits
b) Bytes
c) Nats
d) None of the mentioned
View Answer

Answer: a
Explanation: When the base of the logarithm is 2 then the unit of measure of information is bits.
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8. When X and Y are statistically independent, then I (x,y) is
a) 1
b) 0
c) Ln 2
d) Cannot be determined
View Answer

Answer: b
Explanation: When X and Y are statistically independent the measure of information I (x,y) is 0.

9. The self information of random variable is
a) 0
b) 1
c) Infinite
d) Cannot be determined
View Answer

Answer: c
Explanation: The self information of a random variable is infinity.
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10. Entropy of a random variable is
a) 0
b) 1
c) Infinite
d) Cannot be determined
View Answer

Answer: c
Explanation: Entropy of a random variable is also infinity.

11. Which is more efficient method?
a) Encoding each symbol of a block
b) Encoding block of symbols
c) Encoding each symbol of a block & Encoding block of symbols
d) None of the mentioned
View Answer

Answer: b
Explanation: Encoding block of symbols is more efficient than encoding each symbol of a block.

12. Lempel-Ziv algorithm is
a) Variable to fixed length algorithm
b) Fixed to variable length algorithm
c) Fixed to fixed length algorithm
d) Variable to variable length algorithm
View Answer

Answer: a
Explanation: Lempel-Ziv algorithm is a variable to fixed length algorithm.

13. Coded system are inherently capable of better transmission efficiency than the uncoded system.
a) True
b) False
View Answer

Answer: a
Explanation: Yes, the coded systems are capable of better transmission efficiency than the uncoded system.

Sanfoundry Global Education & Learning Series – Digital Communications.

To practice all areas of Digital Communications, 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]

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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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