Question 1
(a)
Define the following terms:
1)Compression Ratio
2)Rate
3)Distortion Measure
3 Marks
(b)
Explain different compression techniques with example.
4 Marks
(c)
Explain Modeling and Coding with suitable example.
7 Marks
Gujarat Technological UniversitySummer 2025 Examination
GTU 3171615 Data Compression Summer 2025 Paper Solution & PDF
B.E. · IT Engineering · Semester 7 · Subject Code: 3171615
Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours2:30 PM – 5:00 PM
Paper Structure5 QuestionsWith internal OR choices
Question 2
(a)
List out Application of Data Compression.
3 Marks
(b)
Write the Difference between Lossy compression and Lossless compression.
4 Marks
(c)
Explain CALIC with example.
7 Marks
OR OPTION
(c)
Explain uniquely decodable code with example.
7 Marks
Question 3
(a)
Compare Arithmetic and Huffman Coding.
3 Marks
(b)
What is Golomb Code? Explain with example.
4 Marks
(c)
Explain LZ77 algorithm in detail.
7 Marks
OR OPTION
(a)
Write procedure to decode Arithmetic Coding Tag.
3 Marks
(b)
Explain Burrows-Wheeler Transform with example.
4 Marks
(c)
What is LZW compression? Explain with example.
7 Marks
Question 4
(a)
Discuss application of Huffman Coding.
3 Marks
(b)
Differentiate static and adaptive dictionary coding scheme.
4 Marks
(c)
Describe prediction with partial match with example.
7 Marks
OR OPTION
(a)
Discuss Diagram Coding with example.
3 Marks
(b)
Discuss advantages of Vector Quantization over Scalar Quantization.
4 Marks
(c)
Explain Context Based Compression.
7 Marks
Question 5
(a)
Discuss Laplacian Distribution.
3 Marks
(b)
Differentiate Uniform Quantization and Non-Uniform Quantization.
4 Marks
(c)
What is Adaptive Quantization? Explain various approaches of Adaptive Quantization.
7 Marks
OR OPTION
(a)
Define SNR and Conditional Entropy.
3 Marks
(b)
Write short note on JPEG standard.
4 Marks
(c)
Explain Vector Quantization? Write down the procedure of Vector Quantization.
7 Marks
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About this Examination Paper & Attribution
Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Data Compression (Summer 2025, B.E. · IT Engineering, Sem 7). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.
Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.