Information Theory And Coding MCQ Questions & Answers

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-1 section-2

Consider a binary memoryless channel characterized by the transition probability diagram shown in the figure. The channel is
Information Theory and Coding mcq question image

Information Theory and Coding mcq question image

A) Lossless B) Noiseless C) Useless D) Deterministic

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Answer & Solution

Answer: Option C

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While decoding the cyclic code, if the received code word is similar as transmitted code word, then r(x) mod g(x) is equal to . . . . . . . .

A) Zero B) Unity C) Infinity D) None of the above

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Answer & Solution

Answer: Option A

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For a received sequence of 6 bits, which decoding mechanism deals with the selection of best correlated sequence especially by correlating the received sequence and all permissible sequences?

A) Soft Decision Decoding B) Hard Decision Decoding C) Both A and B D) None of the above

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Answer & Solution

Answer: Option A

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Binary Huffman coding is a

A) Prefix condition code B) Suffix condition code C) Prefix & Suffix condition code D) None of the mentioned

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Answer & Solution

Answer: Option A

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In discrete memoryless source, the current letter produced by a source is statistically independent of . . . . . . . .

A) Past output B) Future output C) Both A and B D) None of the above

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Answer & Solution

Answer: Option C

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The capacity of a binary symmetric channel, given H(P) is binary entropy function is

A) 1 - H(P) B) H(P) - 1 C) 1 - H(P)² D) H(P)² - 1

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Answer & Solution

Answer: Option A

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When the channel is noisy, producing a conditional probability of error p = 0.5; the channel capacity and entropy function would be, respectively.

A) 1 and 1 B) 1 and 0.5 C) 0.5 and 1 D) zero and 1

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Answer & Solution

Answer: Option D

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A source generates three symbol m₀, m₁, m₂ with probabilities 0.5, 0.25, 0.5, then find entropy?

A) $$\frac{5}{4}$$ bits/symbol B) $$\frac{3}{4}$$ bits/symbol C) $$\frac{3}{2}$$ bits/symbol D) $$\frac{9}{2}$$ bits/symbol

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Answer & Solution

Answer: Option C

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Shannon's law relates which of the following?

A) Noise power to bandwidth B) Antenna gain to frequency C) Transmission losses to noise D) Information-carrying capacity to S/N ratio

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Answer & Solution

Answer: Option A

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A source produce 26 symbols with equal probability. What is the average information produced by this source?

A) < 4 bits/symbol B) 6 bits/symbol C) 8 bits/symbol D) Between 4 and 6 bits/symbol

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Answer & Solution

Answer: Option D

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