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Information Theory And Coding MCQ Questions & Answers | ECE

Learn Information Theory And Coding MCQ questions & answers are available for a Electronics and Communications Engineering(ECE) students to clear GATE exams, various technical interview, competitive examination, and another entrance exam. Information Theory And Coding MCQ question is the important chapter for a Electronics and Communications Engineering(ECE) and GATE students. Page-8 section-2

Each section contains 100 MCQs on Information Theory and Coding .
71
The minimum distance of a (n, k) = (7, 4) linear block code is upper bounded by:
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Answer & Solution
Answer: Option C
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72
For a discrete memory less source containing K symbols, the upper bound for the entropy is
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Answer & Solution
Answer: Option B
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73
Channel capacity is basically a measure of:
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Answer & Solution
Answer: Option A
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74
What is the capacity of an additive white Gaussian noise channel with bandwidth of 1 MHz, power of 10 W and noise power spectral density of No/2 = 10(-9) W/Hz?
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Answer & Solution
Answer: Option B
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75
A zero source generates two messages with probability 0.8 and 0.2. These are coded as 1 and 0.2. The code efficiency is
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Answer & Solution
Answer: Option A
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76
For Gaussian and White channel noise, the capacity of a low-pass channel with a usable bandwidth of 3000 Hz and S/N = 103 at the channel output will be
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Answer & Solution
Answer: Option D
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77
The entropy for a fair coin toss is exactly
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Answer & Solution
Answer: Option D
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78
Given a channel with an intended capacity of 20 Mbits. The Bandwidth of this channel is 3 MHz. What is S/N ratio required in order to achieve this capacity?
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Answer & Solution
Answer: Option D
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79
A 8 kHz communication channel has an SNR of 30 dB. It the channel bandwidth is doubled, keeping the signal power constant, the SNR for the modified channel will be
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Answer & Solution
Answer: Option A
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80
Which of the following channel coding scheme helps in correcting burst errors?
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Answer & Solution
Answer: Option D
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