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 FF No. : 654 EC42203 :: PATTERN RECOGNITION Credits: 01 Teaching Scheme: - Tutorial 1 Hrs/Week Prerequisites: Objectives: To familiarize the student with • Pattern recognition Techniques • Bayesian decision theory • Non parametric Techniques • Different clustering Techniques. • Mapping with PEO : 1,2,3,6,7,8,9 List of Contents 1. Concept of pattern recognition and Machine perception. 2. Analysis of Bayesian Decision theory continuous features 3. Analysis of Bayesian Decision theory discrete features 4. Analysis of Maximum-Likelihood estimation 5. Study of different Classification methods. 6. Analysis of Neighbour method-1 7. Analysis of Neighbour method- 2 8. Analysis of Linear discriminant function 9. Analysis of Support vector machines 10. Analysis of Algorithms for clustering-1 11. Analysis of Algorithms for clustering -2 12. Analysis of cluster validation Text Books 1. Pattern Classification, R.O.Duda, P.E.Hart and D.G.Stork, John Wiley, 2001 2. Pattern Recognition, S.Theodoridis and K.Koutroumbas, 4th Ed., Academic Press, 2009 Reference Books 2. Pattern Recognition and Machine Learning, C.M.Bishop, Springer, 2006 Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 58
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering FF No. : 654 EC 40301 :: Coding and Data Compression Credits: 01 Teaching Scheme: - Laboratory 2 Hrs/Week Prerequisites: Basic knowledge of MATLAB Programming Objectives: To learn the theoretical concepts of various types of coding and data compression techniques using a suitable programming platform. Mapping with PEO : 1,2,6,7,8,9 List of Practicals 1. Linear Block Coding/ Convolution Coding 2. Unique Decodability Test 3. Huffman Coding. 4. Golomb Coding 5. Arithmetic Coding 6. Lempel Ziv-77 7. Uniform Quantizer/Jayant /Trellis coded Quantizer 8. Trellis Coded Quantizer 9. Miniproject Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 59
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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 />
FF No. : 654<br />
EC 40301 :: Coding and Data Compression<br />
Credits: 01<br />
Teaching Scheme: - Laboratory 2 Hrs/Week<br />
Prerequisites: Basic knowledge <strong>of</strong> MATLAB Programming<br />
Objectives: To learn the theoretical concepts <strong>of</strong> various types <strong>of</strong> coding and data<br />
compression techniques using a suitable programming platform.<br />
Mapping with PEO : 1,2,6,7,8,9<br />
List <strong>of</strong> Practicals<br />
1. Linear Block Coding/ Convolution Coding<br />
2. Unique Decodability Test<br />
3. Huffman Coding.<br />
4. Golomb Coding<br />
5. Arithmetic Coding<br />
6. Lempel Ziv-77<br />
7. Uniform Quantizer/Jayant /Trellis coded Quantizer<br />
8. Trellis Coded Quantizer<br />
9. Miniproject<br />
Structure & Syllabus <strong>of</strong> B.E (<strong>Electronics</strong> ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011<br />
59
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