Loading...

Loading, please wait...

Back to Topics

Communication System
Information Theory and Error Control coding

Practice questions from Information Theory and Error Control coding.

34
Total
0
Attempted
0%
0
Correct
0%
0
Incorrect
0%
Q#1 Information Theory and Error Control coding GATE EC 2025 (Set 1) MCQ +1 mark -0.33 marks

Consider an additive white Gaussian noise (AWGN) channel with bandwidth  and noise power spectral density . Let  denote the average transmit power constraint.

Which one of the following plots illustrates the dependence of the channel capacity  on the bandwidth  (keeping  and  fixed)?

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#2 Information Theory and Error Control coding GATE EC 2025 (Set 1) NAT +1 mark -0 marks

The generator matrix of a  binary linear block code is given by

 

The minimum Hamming distance  between codewords equals _________ (answer in integer).

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#3 Information Theory and Error Control coding GATE EC 2025 (Set 1) NAT +2 marks -0 marks

 and  are Bernoulli random variables taking values in . The joint probability mass function of the random variables is given by:

 

 

 

 

The mutual information  is _________ (rounded off to two decimal places).

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#4 Information Theory and Error Control coding GATE EC 2024 (Set 1) NAT +1 mark -0 marks

A source transmits symbols from an alphabet of size 16. The value of maximum achievable entropy (in bits) is _________.

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#5 Information Theory and Error Control coding GATE EC 2024 (Set 1) MCQ +2 marks -0.66 marks

The information bit sequence  is to be transmitted by encoding with Cyclic Redundancy Check 4 (CRC-4) code, for which the generator polynomial is . The encoded sequence of bits is ___________.

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#6 Information Theory and Error Control coding GATE EC 2023 (Set 1) NAT +2 marks -0 marks

The frequency of occurrence of 8 symbols (a-h) is shown in the table below. A symbol is chosen and it is determined by asking a series of "yes/no" questions which are assumed to be truthfully answered. The average number of questions when asked in the most efficient sequence, to determine the chosen symbol, is _______ (rounded off to two decimal places).

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#7 Information Theory and Error Control coding GATE EC 2022 (Set 1) NAT +2 marks -0 marks

The transition diagram of a discrete memoryless channel with three input symbols and three output symbols is shown in the figure. The transition probabilities are as marked.

The parameter  lies in the interval . The value of  for which the capacity of this channel is maximized, is ________ (rounded off to two decimal places).        

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#8 Information Theory and Error Control coding GATE EC 2022 (Set 1) NAT +2 marks -0 marks

Consider communication over a memoryless binary symmetric channel using a  Hamming code. Each transmitted bit is received correctly with probability (  ), and flipped with probability . For each codeword transmission, the receiver performs minimum Hamming distance decoding, and correctly decodes the message bits if and only if the channel introduces at most one bit error.

For , the probability that a transmitted codeword is decoded correctly is ________ (rounded off to two decimal places).

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#9 Information Theory and Error Control coding GATE EC 2021 (Set 1) MCQ +2 marks -0.66 marks

A digital transmission system uses a  systematic linear Hamming code for transmitting data over a noisy channel. If three of the message-codeword pairs in this code , where  is the codeword corresponding to the  message  are known to be , (1110 ;  and , then which of the following is a valid codeword in this code?

0110100

1101001

0001011

1011010

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#10 Information Theory and Error Control coding GATE EC 2019 (Set 1) MCQ +1 mark -0.33 marks

A linear Hamming code is used to map 4-bit message to 7-bit code words. The encoder mapping is linear. If the message 0001 is mapped to the codeword 0000111 and the message 0011 is mapped to the codeword 1100110, then the message 0010 is mapped to

1111000

1111111

0010011

1100001

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#11 Information Theory and Error Control coding GATE EC 2018 (Set 1) NAT +1 mark -0 marks

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

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#12 Information Theory and Error Control coding GATE EC 2017 (Set 1) NAT +1 mark -0 marks

Let be independent random variables, has mean 0 and variance 1, while  has mean 1 and variance 4. The mutual information I between and in bits is ______________.

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#13 Information Theory and Error Control coding GATE EC 2017 (Set 2) MCQ +1 mark -0.33 marks

Which one of the following graphs shows the Shannon capacity (channel capacity) in bits of a memory less binary symmetric channel with crossover probability p ?

Z:\PY\ECE PY\All Updated figure\07-Communication\P-761 (22)-a.jpg

Z:\PY\ECE PY\All Updated figure\07-Communication\P-761 (22)-b.jpg

Z:\PY\ECE PY\All Updated figure\07-Communication\P-761 (22)-c.jpg

Z:\PY\ECE PY\All Updated figure\07-Communication\P-761 (22)-d.jpg

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#14 Information Theory and Error Control coding GATE EC 2017 (Set 2) MCQ +2 marks -0.66 marks

Consider a binary memoryless channel characterized by the transition probability diagram shown in the figure.         

Z:\PY\ECE PY\All Updated figure\07-Communication\P-761 (23).jpg

lossless

noiseless

useless

deterministic

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#15 Information Theory and Error Control coding GATE EC 2016 (Set 1) NAT +2 marks -0 marks

Consider a discrete memory-less source with alphabetand respective probabilities of occurrence  the entropy of the source (in bits) is____________

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#16 Information Theory and Error Control coding GATE EC 2016 (Set 1) NAT +2 marks -0 marks

A digital communication system uses a repetition code for channel encoding/decoding. During transmission, each bit is repeated three times (0 is transmitted as 000, and 1 is transmitted as 111). It is assumed that the source puts out symbols independently and with equal probability. The decoder operates as follows: In a block of three received bits, if the number of zeros exceeds the number of ones, the decoder decides in favor of a 0, and if the number of ones exceeds the number of zeros, the decoder decides in favor of a 1. Assuming a binary symmetric channel with crossover probability p = 0.1, the average probability of error is______________

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#17 Information Theory and Error Control coding GATE EC 2016 (Set 2) NAT +1 mark -0 marks

A discrete memoryless source has an alphabet
{
,,,} with corresponding probabilities . The minimum required average codeword length in bits to represent this source for error-free reconstruction is _____.

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#18 Information Theory and Error Control coding GATE EC 2016 (Set 2) NAT +2 marks -0 marks

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

 : a "zero" is transmitted  

 : a "one" is transmitted  : a "zero" is received  

 : a "one" is received

The following probabilities are given:

, and . 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 ________.         

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#19 Information Theory and Error Control coding GATE EC 2016 (Set 1) NAT +2 marks -0 marks

The bit error probability of a memory-less binary symmetric channel is .  If  bits are sent over this channel, then the probability that not more than one bit will be in error is________

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#20 Information Theory and Error Control coding GATE EC 2015 (Set 1) NAT +2 marks -0 marks

The input X to the Binary Symmetric Channel (BSC) shown in the figure is ‘1’ with probability 0.8. The cross-over probability is 1/7. If the received bit Y = 0, the conditional probability that ‘1’ was transmitted is _______.        

Q49-1.jpg

P[X=0]=0.2

P[X=1]=0.8

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#21 Information Theory and Error Control coding GATE EC 2015 (Set 1) MCQ +2 marks -0.66 marks

A source emits bit 0 with probability  and bit 1 with probability . The emitted bits are communicated to the receiver. The receiver decides for either 0 or 1 based on the received value R . It is given that the conditional density functions of R are as

 

And  

The minimum decision error probability is        

0

1/12

1/9

1/6

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#22 Information Theory and Error Control coding GATE EC 2014 (Set 1) NAT +1 mark -0 marks

The capacity of a Binary Symmetric Channel (BSC) with cross-over probability 0.5 is _________.         

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#23 Information Theory and Error Control coding GATE EC 2014 (Set 1) NAT +2 marks -0 marks

A fair coin is tossed repeatedly until a ‘Head’ appears for the first time. Let L be the number of tosses to get this first ‘Head’. The entropy H(L) in bits is __________.

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#24 Information Theory and Error Control coding GATE EC 2014 (Set 3) NAT +2 marks -0 marks

A binary random variable X takes the value of 1 with probability 1/3. X is input to a cascade of 2 independent identical binary symmetric channels (BSCs) each with crossover probability 1/2. The output of BSCs are the random variables  and  as shown in the figure.

The value of in bits is __________.        

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#25 Information Theory and Error Control coding GATE EC 2014 (Set 4) NAT +2 marks -0 marks

Consider the Z-channel given in the figure. The input is 0 or 1 with equal probability.

Q50-1.jpg

If the output is 0, the probability that the input is also 0 equals ____________

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#26 Information Theory and Error Control coding GATE EC 2012 (Set 1) MCQ +1 mark -0.33 marks

A source alphabet consists of N symbols with the probability of the first two symbols being the same. A source encoder increases the probability of the first symbol by a small amount ε and decreases that of the second by ε. After encoding, the entropy of the source

increases

remains the same

increases only if N = 2

decreases

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#27 Information Theory and Error Control coding GATE EC 2012 (Set 1) MCQ +2 marks -0.66 marks

A binary symmetric channel (BSC) has a transition probability of 1/8. If the binary transmit symbol M is such that P(X=0)=9/10, then the probability of error for an optimum receiver will be

7/80

63/80

9/10

1/10

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#28 Information Theory and Error Control coding GATE EC 2009 (Set 1) MCQ +2 marks -0.66 marks

A communication channel with AWGN operating at a signal to noise ratio SNR >> 1 and bandwidth B has capacity . If the SNR is doubled keeping B constant, the resulting capacity is given by

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#29 Information Theory and Error Control coding GATE EC 2008 (Set 1) MCQ +2 marks -0.66 marks

A memory-less source emits n symbols each with a probability P. The entropy of the source as a function of n

increases as log n

 decreases as log (1/n)

increases as n

increases as n log n

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#30 Information Theory and Error Control coding GATE EC 2008 (Set 1) MCQ +2 marks -0.66 marks

Consider a Binary Symmetric Channel (BSC) with probability of error being . To transmit a bit, say 1, we transmit a sequence of three 1s. The receiver will interpret the received sequence to represent 1 if at least two bits are 1. The probability that the transmitted bit will be received in error is        

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#31 Information Theory and Error Control coding GATE EC 2006 (Set 1) MCQ +2 marks -0.66 marks

A source generates three symbols with probabilities 0.25, 0.25, 0.50 at a rate of 3000 symbols per second. Assuming independent generation of symbols, the most efficient source encoder would have average bit rate as

6000 bits/sec

 4500 bits/sec

3000 bits/sec

1500 bits/sec

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#32 Information Theory and Error Control coding GATE EC 2004 (Set 1) MCQ +2 marks -0.66 marks

Consider a binary digital communication system with equally likely 0’s and 1’s. When binary 0 is transmitted the voltage at the detector input can lie between the level s-0.25V and +0.25V with equal probability: when binary 1 is transmitted, the voltage at the detector can have any value between 0 and 1 V with equal probability. If the detector has a threshold of 2.0V (i.e., if the received signal is greater than 0.2 V, the bit is taken as 1), the average bit error probability is        

0.15

0.2

0.05

0.5

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#33 Information Theory and Error Control coding GATE EC 2002 (Set 1) MSQ +2 marks -0 marks

A discrete memory-less source generates either 0 or 1 at a rate of 160 kbps; 0 is generated three times more frequently than 1. A coherent binary PSK modulator is employed to transmit these bits over a noisy channel. The received bits are detected in a correlator fed with the basis function of unit energy (for this binary PSK scheme) as the reference signal. The receiver makes a decision in favour of 1 if the correlator output is positive, else decides in favour of 0. If 0 and 1 are represented as  and  respectively, then        

(a) Determine the transmitted signal energy per bit.

(b) Determine the basis function of unit energy for this binary PSK scheme.

(c) Determine the probability that the receiver makes a decision in favour of 1 when the channel noise is characterized as zero-mean AWGN with power spectral density

\(\scriptstyle {E_b = 0.225\text{ mJ}}\)

\(\scriptstyle {\phi(t) = 400\sqrt{2}\cos(640\pi \times 10^3 t) \quad \text{for } 0 \le t \le T_b}\)

\(\scriptstyle {P(\hat{m}=1) = 0.3491}\)

\(\scriptstyle {P(\hat{m}=1) = 0.4491}\)

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock
Q#34 Information Theory and Error Control coding GATE EC 1991 (Set 1) MSQ +1 mark -0 marks

A binary source has symbol probabilities 0.8 and 0.2. If extension coding (blocks of 4 symbols) is used, the lower and upper bounds on the average code word length are

(a) Lower _______(b) Higher ______

Lower bound = 2.88 bits

Higher bound = 2.88 bits

Higher bound = 3.88 bits

Lower bound = 3.88 bits

Sign in to see the solution

Log in to view the explanation, track your attempts, and keep your progress.

Sign in to Unlock