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Printed Pages: 02
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Paper Id: 110241
Sub Code: NCS 085
Roll No.
B TECH
(SEM-VIII) THEORY EXAMINATION 2018-19
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DATACOMPRESSION
Time: 3 Hours
Total Marks: 100
Note: 1. Attempt all Sections. If require any missing data; then choose suitably.
SECTION A
1. Attempt all questions in brief. 2 x 10 = 20
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- Is Huffman coding is a lossless or lossy compression? Write applications of Huffman coding.
- What is a composite source model?
- What are prefix codes?
- Explain JBIG standard.
- Explain entropy.
- Define compression ratio.
- Determine whether the code {0, 10,110,111} is uniquely decodable or not.
- Which compression technique is used in “compress” command of Unix operating systems?
- Explain uniform quantizer.
- What is entropy coded quantization?
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SECTION B
2. Attempt any three of the following: 10 x 3 = 30
- What is Data Compression? Why we need it? Explain Compression and Reconstruction with the help of block diagram.
- Explain various types of dictionary based coding techniques. Explain with the help of an example.
- Write short note on Golomb codes & Tunstall codes.
- What do you mean by Quantization? Describe the quantization problem with the help of an example in detail.
- What are the advantages of vector quantization over scalar quantization?
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SECTION C
3. Attempt any one part of the following: 10 x 1 = 10
- What do you mean by lossless compression and lossy compression? Compare lossless compression with lossy compression.
- What do you understand by information? Give an alphabet A={a1,a2,a3,a4},find the first order entropy of the following: P(a1)=1/2, P(a2)=1/4, P(a3)=P(a4)=1/8.
4. Attempt any one part of the following: 10 x 1 = 10
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- Given the eight symbols A, B, C, D, E, F, G, and H with probabilities 1/30, 1/30, 1/30, 2/30, 3/30, 5/30, 5/30, and 12/30:
- Draw the Huffman tree for these symbols.
- Compute the average no. of bits/symbol.
- Differentiate between adaptive Huffman coding and Huffman coding?
5. Attempt any one part of the following: 10 x 1 = 10
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- Compare and contrast LZ77 and LZ78 with examples.
- Discuss the steps involved in Basic Algorithm for Prediction with Partial Match. (PPM).
6. Attempt any one part of the following: 10 x 1 = 10
- Explain the various distortion criteria used in lossless schemes.
- Differentiate between uniform and non uniform quantization.
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7. Attempt any one part of the following: 10 x 1 = 10
- Differentiate between scalar quantization and vector quantization.
- Explain the steps of Lindo-Buzo-Gray algorithm.
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