Vishwakarma Institute of Technology B.E. (Electronics)
Vishwakarma Institute of Technology B.E. (Electronics) Vishwakarma Institute of Technology B.E. (Electronics)
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering B. Advantages of vector quantization over scalar quantization, Linde-Buzo-Gray (LBG) algorithm, application of LBG algorithm to image compression Unit V : Transform coding (7 Hrs.) A. Necessity of transforms, Discrete Cosine, Sine, Walsh, Hadamard transform, KL transform, Quantization and coding of transform coefficients, JPEG image compression. B. Applications– Lossy image compression, Audio & Video Compression, Modified Discrete Cosine Transform (MDCT) Text Books 5. Simon Hyakins , ‘Communication systems’, Wiley Publications, 4 th edition 6. Khalid Sayood , ‘Introduction to Data Compression’, Elsvier publication, 3 rd edition, 7. Graham Wade, ‘Coding Techniques – Introduction to compression & Error control’, Palgrave Publications Reference Books 1. Ranjan Bose, ‘Information Theory & cryptography’, Tata McGraw Hill, 2002/2006 2. Saloman D, ‘Data compression – Complete reference ‘ , springer verlag, 3 rd edition 3. Levis W.J. , ‘Data compression ‘ . Springer , 2 nd edition 8. Nelson Mark . Gaily . Jean , Loup , ‘Data Compression book’ , BPB publication, 2 nd edition Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 40
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering List of Elective 1 Subject No. Subject Name Subject Code 01 Remote Sensing EC42101 02 Artificial Intelligence EC42102 03 Pattern Recognition EC42103 Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 41
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Bansilal Ramnath Agarwal Charitable Trust’s<br />
<strong>Vishwakarma</strong> <strong>Institute</strong> <strong>of</strong> <strong>Technology</strong>, Pune – 411 037<br />
Department <strong>of</strong> <strong>Electronics</strong> Engineering<br />
B. Advantages <strong>of</strong> vector quantization over scalar quantization, Linde-Buzo-Gray (LBG)<br />
algorithm, application <strong>of</strong> LBG algorithm to image compression<br />
Unit V : Transform coding<br />
(7 Hrs.)<br />
A. Necessity <strong>of</strong> transforms, Discrete Cosine, Sine, Walsh, Hadamard transform, KL<br />
transform, Quantization and coding <strong>of</strong> transform coefficients, JPEG image compression.<br />
B. Applications– Lossy image compression, Audio & Video Compression, Modified<br />
Discrete Cosine Transform (MDCT)<br />
Text Books<br />
5. Simon Hyakins , ‘Communication systems’, Wiley Publications, 4 th edition<br />
6. Khalid Sayood , ‘Introduction to Data Compression’, Elsvier publication, 3 rd edition,<br />
7. Graham Wade, ‘Coding Techniques – Introduction to compression & Error<br />
control’,<br />
Palgrave Publications<br />
Reference Books<br />
1. Ranjan Bose, ‘Information Theory & cryptography’, Tata McGraw Hill, 2002/2006<br />
2. Saloman D, ‘Data compression – Complete reference ‘ , springer verlag, 3 rd edition<br />
3. Levis W.J. , ‘Data compression ‘ . Springer , 2 nd edition<br />
8. Nelson Mark . Gaily . Jean , Loup , ‘Data Compression book’ , BPB publication,<br />
2 nd edition<br />
Structure & Syllabus <strong>of</strong> B.E (<strong>Electronics</strong> ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011<br />
40
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