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ECE · all questions

Information Theory And Coding
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Q181

Open question
In a communication system each message (0 or 1) is transmitted three times in order to reduce the probability of error. The detection is based on the majority rule at the receiver. If pe is the probability of bit error, the probability of error for this communication system is

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Q182

Open question
Consider a source with four symbols. The entropy of the source will be maximum when probabilities of occurrence of symbols are:

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Q183

Open question
A source generates one of the five symbols s1, s2, s3, s4 and s5 once in every second. The symbols are assumed to be independent and occur with probabilities    The average information rate of the source in bits/second is:

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Q184

Open question
The relation between entropy and mutual information is

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Q185

Open question
Blocking probability of a 3 stage switch in term of inlet utilization P

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Q186

Open question
A communication channel with Additive white Gaussian Noise, has a bandwidth of 4 kHz and SNR of 31 dB. Its channel capacity is

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Q187

Open question
Discrete source S1 has 4 equiprobable symbols while discrete source S2 has 16 equiprobable symbols. When the entropy of these two sources is compared, entropy of

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Q188

Open question
Information is

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Q189

Open question
Which statement is not correct?

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Q190

Open question
A communication channel has a bandwidth of 100 MHz. The channel is extremely noisy such that the signal power is very much below the noise power. What is the capacity of this channel?

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Q191

Open question
The information capacity (bits/sec) of a channel with bandwidth W MHz and transmission time T is given by

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Q192

Open question
A binary source in which 0's occurs 3 times as often as 1's. Then its entropy in bits/symbol will be

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Q193

Open question
Match List-I with List-II and select the correct answer using the options given below the lists:
List-I (Theorem/law) List-II (Specified Quantity)
a. Shannon source theorem 1. Channel capacity coding
b. Dimensionality theorem 2. Storage space of a signal
c. Wiener-Kintchine theorem 3. Power spectral density of random process
d. Shannon-Hartley law 4. Optimum code length

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Q194

Open question
An image uses 512 × 512 picture elements. Each of the picture elements can take any of the 8 distinguishable intensity levels. The maximum entropy in the above image will be

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Q195

Open question
Shannon Hartley law

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Q196

Open question
A source produces 4 symbols with probabilities , , and . For this source, a practical coding scheme has an average code word length of 2 bits/symbol. The efficiency of the code is:

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Q197

Open question
A source generates four messages m1, m2, m3 and m4, with probabilities 0.5, 0.25, 0.125 and 0.125 respectively. The messages are generated independently of each other. A source coder assigns binary code to each message. Which of the following codes has minimum average length and is also uniquely decodable (sequence as per m1, m2, m3, m4)?

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Q198

Open question
If the minimum possible length and average length of a coding scheme are 2.418 and 2.45 bits respectively. Then its code efficiency and redundancy are

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Q199

Open question
The purpose of source coding is to

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Q200

Open question
Data rate R and information rate Rt are different because of

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