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. AM Detector Unit IV Introduction to RF Design (8 Hrs) A. RF behaviour of passive components, Chip components and circuit board considerations, scattering parameters, Analysis of amplifier using scattering parameter. RF filter – Basic resonator and filter configurations – Butterworth. Implementation of microstrip filter design. Band pass filter and cascading of band pass filter elements, stability issues. RF amplifier design- Broad band, high power amplifiers, RF oscillator design- stability and phase noise, LNA design, Mixers and receiver design, Use of Smith Chart. B. ABCD parameters, Basic resonator and filter configurations – Chebyshev filters. Receiver and transmitter design Unit V Reliability & Noise considerations in design of electronics circuits. (8 Hrs) A. Introduction to reliability and quality, bath tub curve, MTBF, MTTR, failure rate, causes of failure, maintainability, availability, techniques to enhance system reliability, fault tree technique. Noise: definition, noise reduction and interference eliminating methods, grounding, shielding. Noise considerations in transistors and opamp. B. EMI, EMC, ESD constraints in circuit design. Text Books 1. “Reliability Engineering”, E.Balagurusamy, Tata McGraw Hill Publications 2. “Noise Reduction Techniques in Eletronics Circuits”, Henry Ott, John Wiley & Sons 3. “SMPS Design”, Abraham Pressman, 4. “Audio amplifier design handbook” Philips 5. “Radio Frequency Transistors-Principles & Practical Applications”, Norman Dye, Helge Granberg, Elsevier Science- Newnes 6. “Transistor Circuit Design”, Gerald Williams 7. “RF Circuit Design- Theory and Applications”, Reinhold Ludwig, Pavel Bretchko Reference Books 1. “High Frequency Switching Power Supplies: Theory & Design”, George Chryssis, 2. “Solid State Radio Engineering”, Herbert Krauss, Charles Bostian, Frederick Raab, John Wiley & Sons 3. Datasheets of regulated power supply IC, signal conditioning IC, graphic equalizer IC, Tone control IC, RF transistor, PLL IC 565, etc Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 38
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering FF No. : 654 EC 40103 :: Coding and Data Compression Credits: 03 Teaching Scheme: - Theory 3 Hrs/Week Prerequisites: Basic knowledge of Digital Communication , Matrix algebra Objectives: • To give inputs regarding Information Theory & coding techniques. Understand the structures of the codes through the practical and appreciate the applications in signal processing. • To understand the basics of Data compression and quantization techniques • To know the transform coding basics • Mapping with PEO : 1,2,6,7,8,9 Unit I : Information Theory & Source Coding (8 Hrs.) A. Introduction, Information & Entropy, Probability & Markov models; Uniquely decodable codes, Prefix codes, Source Coding Theorem, Shannon Fanon, Huffman codes, optimality of Huffman Codes, Extended Huffman codes, adaptive Huffman codes B. Discrete Memory less Channel & Mutual Information Unit II : Error Control Coding (8Hrs.) A. Linear Block Codes, Trellis Codes, Cyclic codes, Convolution Codes, Viterbii decoding. B. Channel capacity and coding allocations Unit III : Lossless Coding Techniques (10 Hrs.) A. Golomb & Rice codes, Arithmetic Coding, adaptive arithmetic coding, Dictionary Techniques- Static & Adaptive Dictionary, Lempel Ziv Approaches- LZ77, LZ78, LZW, File Formats- Graphic Interchange Format(GIF), Portable Network Graphics (PNG) B. Applications– Lossless image compression, text compression, Audio Compression Unit IV : Scalar & Vector Quantization (7 Hrs.) A. Uniform Quantizer, Adaptive Quantizer – Forward & Backward adaptive quantizer, Jayant quantizer, non-uniform quantizer, vector quantization, Trellis coded quantization Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 39
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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 40103 :: Coding and Data Compression<br />
Credits: 03<br />
Teaching Scheme: - Theory 3 Hrs/Week<br />
Prerequisites: Basic knowledge <strong>of</strong> Digital Communication , Matrix algebra<br />
Objectives:<br />
• To give inputs regarding Information Theory & coding techniques. Understand<br />
the structures <strong>of</strong> the codes through the practical and appreciate the applications in<br />
signal processing.<br />
• To understand the basics <strong>of</strong> Data compression and quantization techniques<br />
• To know the transform coding basics<br />
• Mapping with PEO : 1,2,6,7,8,9<br />
Unit I : Information Theory & Source Coding<br />
(8 Hrs.)<br />
A. Introduction, Information & Entropy, Probability & Markov models; Uniquely<br />
decodable codes, Prefix codes, Source Coding Theorem, Shannon Fanon, Huffman<br />
codes, optimality <strong>of</strong> Huffman Codes, Extended Huffman codes, adaptive Huffman codes<br />
B. Discrete Memory less Channel & Mutual Information<br />
Unit II : Error Control Coding<br />
(8Hrs.)<br />
A. Linear Block Codes, Trellis Codes, Cyclic codes, Convolution Codes, Viterbii<br />
decoding.<br />
B. Channel capacity and coding allocations<br />
Unit III : Lossless Coding Techniques<br />
(10 Hrs.)<br />
A. Golomb & Rice codes, Arithmetic Coding, adaptive arithmetic coding, Dictionary<br />
Techniques- Static & Adaptive Dictionary, Lempel Ziv Approaches- LZ77, LZ78, LZW,<br />
File Formats- Graphic Interchange Format(GIF), Portable Network Graphics (PNG)<br />
B. Applications– Lossless image compression, text compression, Audio Compression<br />
Unit IV : Scalar & Vector Quantization<br />
(7 Hrs.)<br />
A. Uniform Quantizer, Adaptive Quantizer – Forward & Backward adaptive quantizer,<br />
Jayant quantizer, non-uniform quantizer, vector quantization, Trellis coded quantization<br />
Structure & Syllabus <strong>of</strong> B.E (<strong>Electronics</strong> ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011<br />
39
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