Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE) PDF Download

Q.1. If X and Y are random variables such that E[2X + Y] = 0 and E[X + 2Y] = 33, then E[X] + E[Y] = _________.

Given X,Y are Random variables

As per The given data

E[2x + y] = 0

E[x + 2y] = 33

⇒ 2E(X) + E(Y) = 0.........(1)

⇒ E(X) + 2 E(Y) = 33......(2)

Solving (1) and (2);

2E(x) + E(y) = 0

2E(x) + 4E(y) = 66 [equation (2) multiplied by 2 and subtracted from (1)]

3E(y) = 66

E(y)=22

From (1);  2E(x) + E(y)= 0

2E(x) = -E(y)

2E(x)= -22

E(x)= -11

By solving (1) and (2)

we got E(Y) = 22

E(X) = −11

∴E(X) + E(Y) = 22 − 11 = 11


Q.2. Consider identical four, 3-faced dice. When the dice are rolled, the faces of the dice appear with probabilities given below. Which distribution has the maximum entropy?
(a) (1/2, 1/4, 1/4)
(b) (1/3, 1/3, 1/3)
(c) (1/6, 2/3, 1/6)
(d) (1/4, 1/6, 7/12)

Correct Answer is Option (B)

The Correct Answer Among All the Options is B

For maximum entropy, all symbols must have equal probability.

Hmax = log2m , m=no. of symbols.


Q.3. Consider a binary code with parity check matrix H given below.
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Which of the following is a valid codeward?
(a) [1 0 0 1 0 1]
(b) [1 1 1 1 0 1]
(c) [0 1 0 0 1 0]
(d) [1 1 0 1 1 0]

Correct Answer is Option (D)

The Correct Answer Among All the Options is D

The parity check matrix H ensures that a valid codeword c satisfies Hc^T = 0. Option (D) [110110] gives: H × [110110]^T = 0 (verified through matrix multiplication).

Q.4. In a digital communication system, the overall pulse shape p(t) at the receiver before the sampler has the Fourier transform P(f). If the symbols are transmitted at the rate of 2000 symbols per second, for which of the following cases is inter symbol interference zero?
(a) Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
(b) Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
(c) Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
(d) Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)

Correct Answer is Option (B)

For Inter symbol interference(ISI) free pulse, If P(t) is having spectrum P(f)
Then Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)= constant
RS= 2.4 kHz
This condition is met by pulse given in option B.


Q.5. Consider a binary channel code in which each codeword has a fixed length of 5 bits. The Hamming distance between any pair of distinct codewords in this code is at least 2. The maximum number of codewords such a code can contain is ___________.

Fixed Length of code n=5

Minimum Hamming distance dmin

Without any constraint, 25 = 32 codewords can be formed.

Following table contains all the possible code words having minimum Hamming distance dmin = 2
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)Hence, total 16 such code words are possible by a 5 bit code with dmin = 2

Q.6. A binary communication system makes use of the symbols "zero" and "one". There are channel errors. Consider the following events:

x0: a "zero" is transmitted

x1: a "one" is transmitted

y0: a "zero" is received

y1: a "one" is received

The following probabilities are given: Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)The information in bits that you obtain when you learn which symbol has been received (while you know that a "zero" has been transmitted) is

Given Binary communication channel Information content in receiving y it in given that xo is transmitted is
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)

Q.7. The minimum distance of a (n,k) = (7,4) linear block code is upper bounded by:
(a) 1
(b) 2
(c) 3
(d) 4

Correct Answer is Option (C)

linear block code,(7,4)=(n,k)

It means 4 bit data is encoded in 7 bit codeword.it will correct any single bit error.

dmin = 2t + 1

t=no of error correction , here t=1.

Therefore, dmin = 2(1) + 1
dmin = 3

Q.8. A source produces three symbols A, B and C with probabilities andInformation Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)The source entropy is
(a) Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
(b) 1 bit/symbol
(c) Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
(d) Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)

Correct Answer is Option (D)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)


Q.9. A discrete memoryless source has an alphabet {a1,a2,a3,a4} with corresponding probabilities Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)  The minimum required average code world length in bits to represent 2 4 8 8 this source for error-free reconstruction is _______.

Minimum required average code world length in bits for error free reconstruction Lmin = H(Entropy)

Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)


Q.10. A voice-grade AWGN (additive white Gaussian noise) telephone channel has a bandwidth of 4.0 kHz and two-sided noise power spectral density  Watt per Hz. If information at the rate of 52 kbps is to be transmitted over this channel with arbitrarily small bit error rate, then the minimum bit-energy Eb(in mJ/bit) necessary is ____

Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)
Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE)

The document Information Theory Gate Questions | Communication System - Electronics and Communication Engineering (ECE) is a part of the Electronics and Communication Engineering (ECE) Course Communication System.
All you need of Electronics and Communication Engineering (ECE) at this link: Electronics and Communication Engineering (ECE)
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FAQs on Information Theory Gate Questions - Communication System - Electronics and Communication Engineering (ECE)

1. What is the basic concept of Information Theory in Electronics and Communication Engineering?
Ans. Information Theory is a mathematical framework that deals with the quantification, storage, and communication of information. In Electronics and Communication Engineering, it helps in the design and analysis of communication systems, focusing on how information can be transmitted efficiently and effectively over various channels while minimizing loss and distortion.
2. How is entropy defined in Information Theory, and why is it important?
Ans. Entropy is a measure of uncertainty or randomness associated with a random variable. In Information Theory, it quantifies the amount of information produced by a stochastic source of data. It is important because it helps in determining the capacity of communication channels and the limits of data compression, guiding engineers in designing efficient coding schemes.
3. What is the significance of the Shannon's Theorem in communication systems?
Ans. Shannon's Theorem, also known as the Shannon-Hartley Theorem, establishes the maximum data rate that can be achieved over a communication channel without error, given the bandwidth and the signal-to-noise ratio. This theorem is crucial for engineers as it provides a benchmark for the performance of communication systems and helps in optimizing data transmission.
4. Can you explain the difference between source coding and channel coding in Information Theory?
Ans. Source coding refers to the process of converting data into a format that can be efficiently transmitted or stored, focusing on data compression without losing information. Channel coding, on the other hand, involves adding redundancy to the transmitted information to protect against errors during transmission over noisy channels. Both are essential for effective data communication but serve different purposes.
5. What role does the concept of mutual information play in Information Theory?
Ans. Mutual information quantifies the amount of information that one random variable contains about another random variable. In Information Theory, it is used to measure the effectiveness of communication systems, helping to understand the relationship between the input and output of a channel. High mutual information indicates a strong correlation and effective transmission of information, which is desirable in communication engineering.
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