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Gujarat University 2009-7th Sem B.E Computer Engineering Computer engg cc - Question Paper

Monday, 13 May 2013 05:15Web



Seat No. :

P-234

BJZ. Semester - VII Regular (New) (CE) Examination January - 2010


Elective-II: Data Compression (New Course)

[Max. Marks : 100

Time : 3 Hours]


Instructions : (1) Q.l is compulsory. Attempt any four from Q.2 to Q.7.

(2)    Figure to the right indicate full marks.

(3)    Assume suitable data whenever necessary.

1. Answer following questions :

20


(1)    Differentiate between modeling and coding.

(2)    How does adaptive Huffman differ from static Huffman ? What are its applications ?

(3)    Give the strengths and limitations of arithmetic coding.

(4)    In adaptive Huffman coding, for multiple occurrences of a same alphabet in single string at different positions, different codes are generated. Justify the statement.

2. (a) What is sibling property ? Explain it with suitable example.    6

(b)    What is uniquely decodable code ? How can you determine it ?    4

(c)    Give the Update procedure with example used in adaptive Huffman coding. 10

3. (a) Perform the Arithmetic coding of the following message. Consider one space

between each word.    8

LIMDI GAME GADI MALI

(b)    Discuss the decoding procedure used in adaptive Huffman coding.

(c)    Compare static and dynamic approaches.

4. (a) Discuss the integer implementation of encoding procedure for the Arithmetic

coding.    .    10

(b)    Compare the arithmetic coding and Huffman coding.    4

(c)    Explain the concept of sliding window in Dictionary algorithms.    6

5. (a) A sequence is encoded using LZW algorithm and initial dictionary is as :    10

Index Entry

1    a

2    B

3    r

4    t

The output of the LZW encoder is the following sequence : 314684212510611136 Decode this sequence.

(b)    What is role of transforms in compression ? Explain the DCT with example.    8

(c)    Tell about Greedy Vs, Best Approach.    2

6.    (a)    Discuss about the application of transform coding to audio compression.    8

(b)    Discuss the LZSS algorithm with suitable example.    8

(c)    Compare the lossy and lossless compression.    4

7.    (a)    Explain the sampling and quantization with example.    8

(b)    Write short note on JPEG compression.    8

(c)    What is Entropy ? What is its significance in Data Compression ?    4

P-234    2







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