B. TECH.
THEORY EXAMINATION (SEM–VIII) 2016-17
DATA COMPRESSION
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Time: 3 Hours
Max. Marks : 100
Note: Be precise in your answer. In case of numerical problem assume data wherever not provided.
SECTION – A
- Attempt all parts of the following question: 10 x 2 = 20
- What do you understand by entropy ?
- What do you mean by loseless compression?
- Define data compression.
- Define compression ratio.
- Differentiate between Fidelity and quality.
- Discuss binary code.
- Discuss Huffman code
- Define distortion.
- Define the term PPM.
- Discuss Golomb coding.
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SECTION – B
- Attempt any five of the following questions: 5 x 10 = 50
- Explain rice coding and it's implementation.
- Explain minimum variance Huffman code.
- Explain encoding and decoding in LZW
- Explain Adaptive Quantization.
- Explain prediction with partial match.
- Explain scalar & vector quantization.
- Explain modeling and coding with the help of example. What do you understand by prefix code?
- What are two observations on which Huffman procedure is based regarding optimum prefix code? What are the various applications of Huffman coding?
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SECTION – C
- Attempt any two of the following questions: 2 x 15 = 30
- What do you understand by adaptive quantization? Explain the various approaches to adapting the quantizer parameters.
- What is Facsimile Encoding? Explain Run-Length coding technique used earlier for Facsimile.
- What do you understand by Uniform quantizer? How uniform quantization of a uniformly distributed sources and uniform quantization of non-uniform sources is done?
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This download link is referred from the post: AKTU B-Tech Last 10 Years 2010-2020 Previous Question Papers || Dr. A.P.J. Abdul Kalam Technical University
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