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Download GTU BE/B.Tech 2019 Summer 6th Sem New 2161603 Data Compression And Data Retrival Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Summer 6th Sem New 2161603 Data Compression And Data Retrival Previous Question Paper

This post was last modified on 20 February 2020

GTU BE 2019 Summer Question Papers || Gujarat Technological University


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Subject Code: 2161603

GUJARAT TECHNOLOGICAL UNIVERSITY

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SEMESTER-VI(NEW) — EXAMINATION — SUMMER 2019

Subject Name: Data Compression and data Retrival

Time:10:30 AM TO 01:00 PM

Instructions:

  1. Attempt all questions.
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  3. Make suitable assumptions wherever necessary.
  4. Figures to the right indicate full marks.

Q.1

  1. What is Data Compression? Compare Lossy Compression with Lossless Compression. (07)
  2. Explain different types of models in Data Compression. (07)
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  4. Draw encoding and decoding procedure flowchart of Adaptive Huffman Coding. (07)

Q.2

  1. Define following terms: (03)
    1. Uniquely Decodable Code
    2. Prefix Code
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  3. Compare Arithmetic Coding with Huffman Coding. (04)
  4. Explain Scalar Quantization in detail. (07)

OR

  1. Explain Vector Quantization detail. (03)
  2. Explain CALIC. (04)
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  4. Explain Skip Pointers in brief. (07)

Q.3

  1. Explain Tunstall Codes with suitable example. (03)
  2. OR Explain Uniqueness and Efficiency of the Arithmetic Code. (04)
  3. Write the method to generate a tag in Arithmetic Coding. (07)
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OR

  1. Explain Stemming and Lemmatization with suitable example. (03)
  2. Discuss different challenges in XML-Retrival. (04)
  3. Explain Facsimile Encoding and Exclusion principle in detail. (07)

Q.4

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  1. Given an initial dictionary index 1=w, 2=a, 3=b, 4=$, 5=0 encode and decode the following message using LZW algorithm: wabba$woo (03)
  2. OR Explain Pyramid Vector Quantization. (04)
  3. Write a short note on Tokenization. (07)

OR

  1. Encode the following sequence cabracadabrarrarrad using LZ77 Method. Assume window size of 13 and look ahead buffer of size 6. (03)
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  3. Explain how vector quantization is better than scalar quantization. (04)
  4. Explain Prediction with Partial Match in detail. (07)

Q.5

  1. Write a short note on Old JPEG Standard and JPEG-LS. (03)
  2. OR Explain Diagram Coding with suitable example. (04)
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  4. Compare Uniform Quantization with Non Uniform Quantization. (07)

OR

  1. Explain Arithmetic Coding with suitable example. (03)
  2. fkkddh e ddt (04)
  3. (07)
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Date:16/05/2019

Total Marks: 70

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