Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2017 Winter 8th Sem Old 181602 Data Compression Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE SEMESTER ? VIII(OLD) EXAMINATION ? WINTER 2017
Subject Code: 181602 Date: 02-11-2017
Subject Name: Data Compression
Time: 02:30 pm to 05:00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1 (a) What is Data Compression? What is the need of Data Compression? Give the
difference between lossy and lossless Compression.
07
(b) What is redundancy of a code? How can you define it and calculate it? 07
Q.2 (a) Explain modeling and coding with the help of suitable examples. 07
(b) What do you understand by information and entropy? Find the first order
entropy over an alphabet A={a1,a2,a3,a4} where p(a1)=
p(a2)=P(a3)=p(a4)=1/4.
07
OR
(b) Explain Shannon-Fanon Algorithm for data compression. With example. 07
Q.3 (a) What are the measures of performance of data compression algorithm? 07
(b) What is arithmetic coding compare it with Huffman coding and also list the
significance of each.
07
OR
Q.3 (a) Differentiate static and adaptive dictionary coding scheme in details. 07
(b) Explain LZ78 in brief with example. 07
Q.4 (a) What is LZW compression? Explain with the help of an example. 07
(b) Explain LZSS compression and what are the improvements of LZSS on LZ77? 07
OR
Q.4 (a) Explain Sampling variable in detail. 07
(b) Differentiate Greedy v/s Best Possible. 07
Q.5 (a) Describe the audio compression with proper diagrams. 07
(b) With the help of example explain how we can implement DCT in JPEG
compression.
07
OR
Q.5 (a) Explain silence compression in detail. 07
(b) Explain the quantization in JPEG. 07
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This post was last modified on 20 February 2020