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Information Theory & Coding

Authored by Vyshnavi K

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Information Theory & Coding
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25 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the concept of entropy measure in information theory? CO1

Data transmission speed

Information content and uncertainty

Signal strength

Error rate

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which theorem establishes the fundamental limits of lossless data compression?CO1

Shannon's source coding theorem

Huffman coding theorem

Kraft's inequality

Mutual information theorem

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What property of source codes ensures that no codeword is a prefix of another codeword?CO1

Uniquely decodable

Prefix-free

Redundant

Variable-length

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Mutual information quantifies the amount of information that two random variables share about each other. It is: CO1

Always negative

Symmetric

Additive

Dependent on the alphabet size

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which coding technique aims to minimize the average length of a source code?CO1

Huffman coding

Shannon-Fano coding

Arithmetic coding

Run-length encoding

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the channel capacity of a noiseless channel?CO2

Zero

Infinite

Variable

Constant

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a binary symmetric channel, if the channel transition probability is 0.1, what is the probability of error for transmitting a single bit?CO2

0.1

0.2

0.5

0.9

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