Department of Electronics and Communication Engineering Malnad College of Engineering, Hassan Scheme for the M.Tech (DECS) autonomous program for the batch 2016-18 and 2017-19 1 st Semester Code Course L T P C Marks CIE SEE Total 17ECS11 Advanced Engineering Mathematics 4 0 0 4 50 50 100 17ECS12 Advanced Antenna Theory 4 0 0 4 50 50 100 17ECS13 Advanced Embedded System 4 0 0 4 50 50 100 17ECS14 Advanced Digital Communications 4 0 0 4 50 50 100 17ECS15 Error Control Coding 4 0 0 4 50 50 100 17ECS16 Digital and Microwave Communication Lab 0 0 3 2 50 50 100 17ECS17 *Seminar 0 0 2 1 100 - 100 17ECS1XX Elective-1 3 0 0 3 50 50 100 Total Credits 26 *Two presentations mid and final each of 50 marks. 2 nd Semester Code Course L T P C Marks 17ECS21 Advanced DSP 4 0 0 4 CIE SEE Total 17ECS22 RF and Microwave circuit Design 4 0 0 4 50 50 100 17ECS23 Wireless Communication 4 0 0 4 50 50 100 17ECS24 Optical Networks 4 0 0 4 50 50 100 17ECS25 Signal Processing Lab 0 0 3 2 50 50 100 17ECS26 Seminar 0 0 2 1 100 - 100 17ECS2XX Elective-2 3 0 0 3 50 50 100 17ECS2XX Elective-3 3 0 0 3 50 50 100 Total Credits 25 50 50 100 *Two presentations mid and final each of 50 marks. 3 rd Semester Code Course L T P C Marks 17ECS31 Seminar / Presentation on Internship (After 8 weeks from the date of commencement) 0 3 6 6 25 Total 100 Report on Internship 0 2 4 4 25 Evaluation and Viva-Voce of Internship 0 2 4 4 50 Total Credits 14 4 th Semester Code Course L T P C Marks 17ECS41 Project phase -1 0 0 3 2 25 Total 300 Project phase -II 0 4 6 7 25 Project phase -III 0 6 10 11 50 Evaluation of Project report 100 Project Vivavoce 100 Total Credits 20 Electives 17ECS181/281 Advanced Computer Networks 17ECS 185/285 Software Defined Radio 17ECS 189/289 Communication System Design using DSP algorithm 17ECS 182/282 Nano Electronics 17ECS 186/286 Multimedia Communication 17ECS 190/290 Advances in Image Processing 17ECS 183/283 Wireline Broadband Communications 17ECS 187/287 * MEMS and Micro Systems 17ECS 191/291 *Sensor and its Applications 17ECS 184/284 *Simulation, Modeling and Analysis 17ECS 188/288 Cryptography and Network Security 17ECS 192/292 CMOS VLSI Design and Testing
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Department of Electronics and Communication Engineering
Malnad College of Engineering, Hassan
Scheme for the M.Tech (DECS) autonomous program for the batch 2016-18 and 2017-19 1
ADVANCED ENGINEERING MATHEMATICS 4-0-0(4.0)CORE SEMESTER – I
Subject Code 17ECS11 CIE Marks 50
Number of Lecture Hours/Week 04 SEE Marks 50
Total Number of Lecture Hours 52 Total 100
Course objectives: This course will enable students to: Acquaint with principles of linear algebra, Numerical solution of partial differential equations, probability theory,
random process and Apply the knowledge of linear algebra, probability theory and random process in the applications of engineering sciences.
Modules
Note: Statement of Theorems and properties only (proofs are not required). Applicable to
all the modules
Teaching
Hours Levels
Module -1 Probability Theory Review of basic probability theory. Definitions of random variables
and probability distributions, probability mass and density functions, expectation,
moments, central moments, characteristic functions, probability generating and moment generating functions-illustrations. Exponential, Gaussian and Rayleigh distributions-
examples. Applications. Discussion on when and where to apply probability distribution
functions
10 Hours
Ref. books
1, 2
L1,L2
Module -2
Joint probability distributions - only illustrative examples on the results of CDF, PDF, PMF, conditional Distributions, Expectation, covariance, correlation, Independent random
variables. Statement of central limit Theorem. Random process- Classification, stationary and ergodic random Process, Auto correlation
function-properties, Gaussian random process.
10 Hours
Ref. books
1, 2
L1,L2
Module -3 Linear Algebra-I Brief review of vector spaces, sub-spaces, Basis of a vector space
Linear transformations, Rank and nullity of linear transformations, Rank of a matrix,
solution of homogeneous and non homogeneous equations using the concept of rank.
Illustrative examples on, 1. Linearly independent and dependent vectors, 2. Basis of vector
space, dimension of a vector space and Matrix form of linear transformations.
10 Hours
Ref. books
3, 4
L1,L2
Module -4
Linear Algebra-II Computation of Eigen values and Eigen vectors based on the concept of rank and applications . Orthogonal vectors and orthogonal bases. Gram-Schmidt orthogonalization process. QR decomposition, singular value decomposition, least square approximations
10 Hours
Ref. books
3, 4
L1,L2
Module -5
Numerical solution of partial differential equations- Classification of PDE, numerical solution of one dimensional heat equation, numerical solution of one dimensional wave
equation, numerical solution of two dimensional Laplace equation.
10 Hours
Ref. books
4 , 5
L1,L2
Course Outcomes: After studying this course, students will be able to: 1. Understand vector spaces, basis, linear transformations and the process of obtaining matrix of linear
transformations arising in magnification and rotation of images. 2. Apply the techniques of QR and singular value decomposition for data compression, least square
approximation in solving inconsistent linear systems. 3. Utilize the concepts of Numerical solution of partial differential equations to solve engineering problems
which are governed by partial differential equations 4. Learn the idea of random variables (discrete/continuous) and probability distributions in analyzing the
probability models arising in control systems and system communications.
5. Apply the idea of joint probability distributions and the role of parameter-dependent random variables in random process.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules.
The students will have to answer any 5 questions.
Reference books: 1. Scott L.Miller, DonaldG. Childers: “Probability and Random Process with application to Signal
Processing”, Elsevier Academic Press, 2nd
Edition,2013.
2. T.Veerarajan: “Probability, Statistics and Random Process“, 3rd
Edition, Tata McGraw Hill Co., 2008. 3. David C.Lay, Steven R. Lay and J.J.McDonald: Linear Algebra and its Applications, 5th Edition, Pearson
Education Ltd., 2015.
4. E. Kreyszig, “Advanced Engineering Mathematics”, 10th edition, Wiley, 2015. 5. B. S. Grewal ,Higher Engineering Mathematics Khanna publishers 42
nd edition.
Web links: 1. http://nptel.ac.in/courses.php?disciplineId=111 2. http://www.class-central.com/subject/math(MOOCs) 3. http://ocw.mit.edu/courses/mathematics/
Course objectives: This course will enable students to: Introduce and discuss different types of Antennas, various terminologies, excitations. Study different types of Arrays, Pattern-multiplication, Feeding techniques. Calculate gain of aperture antennas, Reflector antennas and analyze general feed model. Define, describe, and illustrate principle behind antenna synthesis. Introduction of Method of moments, Pocklington’s integral equation, Source modeling.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Antenna Fundamentals and Definitions: Radiation Mechanisms, Overview, EM
Fundamentals, Solution of Maxwell's Equations for Radiation Problems, Ideal Dipole,
Radiation patterns, Directivity and Gain, Antenna impedance, Radiation efficiency,
Antenna polarization.
10 Hours L1,L2
Module -2
Arrays: Array factor for linear arrays, Uniformly excited equally spaced linear arrays,
Pattern multiplication, Directivity of linear arrays, Non-uniformly excited equally spaced
linear arrays, Mutual coupling. Design
Antenna Synthesis: Formulation of the synthesis problem, Synthesis principles, Line
Sleeve antennas, and Principles of frequency independent antennas, Spiral antennas, and
Log - periodic antennas Design.
10 Hours L1,L2,L3,
L5
Module -4
Aperture antennas: Techniques for evaluating gain, Reflector antennas- Parabolic
reflector antenna principles, Axi- symmetric parabolic reflector antenna, Offset parabolic reflectors, Dual reflector antennas, Gain calculations for reflector antennas,
Feed antennas for reflectors, Field representations, Matching the feed to the reflector, General feed model, Feed antennas used in practice Design.
10 Hours L1,L2,L3,
L5
Module -5
CEM for antennas: The method of moments: Introduction of the methods moments, Pocklington's integral equation, Integral equation and Kirchhoff’s networking equations,
Source modeling weighted residual formulations and computational consideration, Calculation of antenna and scatter characteristics.
10 Hours L1,L2
Course Outcomes: After studying this course, students will be able to:
1. Classify different types of antennas 2. Define and illustrate various types of array antennas 3. Design antennas like Yagi-Uda, Helical antennas and other broad band antennas 4. Describe different antenna synthesis methods. 5. Apply methods like MOM
6. Apply knowledge gained for Design of an Antenna
Post Graduate Attributes (as per NBA):
1. Engineering Knowledge. 2. Problem Analysis. 3. Design / development of solutions (partly). 4. Interpretation of data.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules.
The students will have to answer any 5 questions.
Reference Books: 1. Stutzman and Thiele, “Antenna Theory and Design”, 2nd Edition, John Wiley, 2010. 2. C. A. Balanis, “Antenna Theory Analysis and Design”, John Wiley, 2nd Edition 2007. 3. J. D. Krauss, “Antennas and Wave Propagation”, McGraw Hill TMH, 4th Edition, 2010. 4. A.R.Harish, M.Sachidanada, “Antennas and propagation”, Pearson Education, 2015.
ADVANCED EMBEDDED SYSTEM 4-0-0(4.0) SEMESTER – I
Subject Code 17ECS13 CIE Marks 50
Number of
Lecture Hours/Week
04 SEE Marks 50
Total Number of Lecture Hours 52 Total 100
Course objectives: This course will enable students to:
Understand the basic hardware components and their selection method based on the characteristics and attributes of an embedded system.
Describe the hardware software co-design and firmware design approaches. Explain the architectural features of ARM CORTEX M3 and M4 processors. Program ARM CORTEX M3 and M4 using the various instructions, for different applications.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
10
Hours L1, L2,
L3
Embedded System: Embedded vs General computing system, classification, application and purpose of ES. The typical embedded system, Core of an Embedded System,
Memory, Characteristics and Quality Attributes of Embedded Systems, Hardware Software Co-Design embedded and program modeling, Fundamental issues in Hardware Software Co-Design, Computational models on embedded design. Module -2
10
Hours
L1, L2,
L3, L4
Files generated during compilation, Disassembler, Simulators, emulators and debugging ,Target hardware debugging, Product enclosure design and development, Embedded product Development life cycle(EDLC), Phases of EDLC, EDLC approaches.
Module 3:
10
Hours L1, L2,
L3
Introduction of ARM cortex M Processors:
ARM Cortex M Processors, Advantages of ARM Cortex M Processors Applications
of ARM Cortex M Processors ,Resources using ARM processors and ARM
microcontrollers, Background history,Introduction to Embedded software
development, What are inside ARM microcontrollers? what you need to start,
software development flow, compiling your applications, software flow, Data types
in C programming Inputs, outputs, and peripherals accesses, Microcontroller
interfaces, The Cortex microcontroller software interface standard (CMSIS).
Module 4:
Technical Overview: General information about the Cortex M3 and Cortex M4
processors,Features of the Cortex M3 and Cortex M4 processors,
Architecture:Introduction to the architecture, Programmer’s model, Behavior of the
application program status register (APSR),Memory system , Exceptions and
interrupts,System control block (SCB) Debug, Reset and reset sequence.
10
Hours
L1, L2,
L3,L4
Module 5:
Instruction Set: Background to the instruction set in ARMCortex processors,
Comparison of the instruction set in ARM Cortex-M processors, Understanding the
assembly language syntax, Use of a suffix in instructions, Unified assembly language
(UAL) ,Instruction set, Programs.
10
Hours
L1, L2,
L3
Course Outcomes: After studying this course, students will be able to:
Explain the basic hardware components and their selection method based on the characteristics and attributes of an embedded system.
Explain the hardware software co-design and firmware design approaches.
Acquire the knowledge of the architectural features of ARM CORTEX processors including memory map, interrupts and exceptions.
Acquire the knowledge of the instruction set of ARM CORTEX M processors. Apply the knowledge gained for Programming ARM CORTEX M processor for different applications.
Post Graduate Attributes (as per NBA):
Engineering Knowledge.
Problem Analysis. Design / development of solutions (partly). Interpretation of data.
Question paper pattern: The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules.
The students will have to answer any 5 questions.
Reference Books:
1. K. V. Shibu, "Introduction to embedded systems", TMH education Pvt. Ltd. 2009 .
2. Joseph Yiu “The definitive guide to ARM Cortex M3 and Cortex M4 Processors” Third
ADVANCED DIGITAL COMMUNICATION 4-0-0(4.0) SEMESTER – I
Course Code 17ECS14 CIE Marks 50
Number of Lecture Hours/Week 04 SEE Marks 50
Total Number of Lecture Hours 52 Exam Hours 03
Course objectives: This course will enable students to:
1. Analyze the difference of analog and digital signals, and understands the digital signal is has the ability of
noise rejection.
2. Analyze the operation of different modulation techniques and analyze the error performance of digital modulation techniques in presence of AWGN noise.
3. Explain and demonstrate the model of discrete time channel with ISI. 4. Explain the model of discrete time channel by equalizer.
5. Explain various types of equalizers used for channel modeling and adjusting the filter coefficients 6. Understand the concept of spread spectrum communication system and analyze the error performance.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Digital Modulation Schemes: Digital modulation formats, Coherent binary
coherent binary modulation techniques, Comparison of binary and quaternary
modulation techniques.
10
Hours
L1,L2,L3, L4
Module -2
M-ray modulation techniques: M-ary PSKModulation,M-ary FSKModulation, M-ary QASKModulation Power spectra, Bandwidth efficiency, M-array modulation formats viewed in the light of the channel capacity theorem.
10
Hours L1,L2,L3
L4
Module -3
Multichannel and Multicarrier Signalling: Multichannel Communications in an AWGN channel, Multicarrier Communications in AWGN channel. Synchronization: Signal Parameter estimation, Carrier Phase Estimation, Symbol Timing Recovery.
10
Hours L2,L3,L4
Module -4
Digital Communication through band-limited channels: Characterization of Band-limited channels, Optimum Receiver for channels with ISI and AWGN, Linear equalization, Decision feedback equalization. Adaptive equalization: Adaptive linear equalizer, adaptive decision feedback
equalizer, Adaptive equalization of Trellis - coded signals.
10
Hours L1,L2,L3,
L4
Module -5
Spread spectrum signals for digital communication:Model of spread spectrum digital communication system,Direct sequence spread spectrum signals, Frequency hoppedspread spectrum signals, Time hopping SS, Synchronization of SS systems (Qualitative Analysis).
10
Hours L1,L2
Course Outcomes: After studying this course, students will be able to: Acquire knowledge of o Advanced topics on digital communication. o Application and practical implementation of various Digital Modulationtechniques. o Inter symbol interference (ISI) and its channel modeling . o Different types spread spectrum system o Different filtering algorithms for the ISI elimination o The effect of signal characteristics on the choice of a channel model.
Analyse the performance of Digital Modulation techniques. o Different filtering algorithms. o Spread spectrum communication system
Post Graduate Attributes (as per NBA): o Engineering Knowledge.
oProblem Analysis. oDesign / development of solutions (partly). oInterpretation of data.
Question paper pattern: The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules.
The students will have to answer any 5 questions.
Reference Books:
1 Simon Haykin, "Digital communications", John Wiley and Sons, Student edition. 2 John G. Proakis, MasoudSalehi, "Digital Communications", McGraw Hill, 5
th Edition, 2008.
3.Bernard Sklar, "Digital Communication - Fundamental and applications", Pearson education (Asia), Pvt.
Ltd., 2nd edition, 2001.
ERROR CONTROL CODING 4-0-0(4.0)CORE
SEMESTER – I Subject Code 17ECS15 CIE Marks 50
Number of Lecture Hours/Week 04 SEE Marks 50
Total Number of Lecture Hours 52 Total 100
Course objectives: This course will enable students to understand the use of linear algebra for error control coding
and design several error control codes to achieve error detection and correction in data transmission systems.
COURSE OUTCOMES: At the end of the course student will be able to:
1. Relate and use linear algebra concepts in designing error control codes.
2. Design random error correcting codes such as linear block codes, Hamming codes and cyclic codes mathematically
and encoder/decoder design for varying message lengths, one step and two step Majority logic decodeing
3. Design multiple error correcting codes such as Reed Muller, Reed Solomon codes, BCH (binary and non binary)
and appropriate decoders with probability of error as the performance parameter.
4. Design systematic and non systematic Convolution encoders and Viterbi decoders,Stack and Fano sequential
decoding algorithms with probability of error as the performance parameter.
5. Design single/multiple level concatenated codes and analyse turbo coding design and fountain codes.
6. Analyse the design of LDPC and burst error correcting codes including fire codes.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1 Introduction to algebra: Groups, Fields, binary Fields arithmetic, Construction of Galois
Fields GF (2m) and its properties, Computation using Galois Fields GF (2
Concatenated codes and Turbo codes: Single level concatenated codes, Concept of
interleaving, Introduction to Turbo coding and their distance properties, design of Turbo
codes. Fire codes, LDPC codes (Coding & decoding), Fountain codes.
10 Hours
L1, L2,
L3,L4
Post Graduate Attributes (as per NBA):
Engineering Knowledge.
Problem Analysis.
Design/Development of Solutions
Interpretation of data.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules.
The students will have to answer any 5 questions.
Reference books:
1. Shu Lin and Daniel J. Costello. Jr, "Error control coding", Pearson, Prentice Hall, 2nd edition, 2004.
2. Blahut. R. E, "Theory and practice of error control codes", Addison Wesley, 1984.
3. Bernard Sklar, "Digital Communication - Fundamental and applications", Pearson education (Asia), Pvt. Ltd.,
2nd edition, 2001.
Web links:
1. http://nptel.ac.in
Digital and Microwave Communication Lab (0.0.2)2
SEMESTER – I
Subject Code 17ECS16 CIE Marks 50
Number of Lab Hours/Week 03 SEE Marks 50
Total Number of Lab Classes 15 Total 100
Course objectives: This laboratory course enables students to get practical experience
Radiation pattern of antennas. Determining gain and directivity of a given antenna. Working of Klystron source. S-parameters of some microwave passive devices.
Laboratory Experiments: NOTE: Experiments can be done using Hardware tools such as Spectrum analyzers, Signal sources, Power Supplies, Oscilloscopes, High frequency signal sources, Fiber optic kits, Microwave measurement benches, DSP processor kit, FPGA kit, Logic analyzers, PC setups, etc. Software tools based experiments can be done using, HFSS or equivalent open source simulator, MATLAB etc.
1. Conduct an experiment for basic digital modulation technique using
CD4051 IC. L3,L4
2. Conduct an experiment of DPSK and QPSK modulation technique using
CD4051 IC. L2, L3
3. Determine the frequency, guide wavelength and VSWR using microwave
bench. L3, L4
4. Determine the modes of reflex klystron using microwave bench. L3, L4
5. Determine the coupling co-efficient and insertion loss of directional
coupler using microwave bench. L2, L3
6. Determine the gain of Horn antenna using microwave bench. L1,L2
7. Study the radiation pattern of different antennas using MATLAB. L2, L3
8. Determine the radiation pattern of an antenna using MATLAB. L3, L4
9. Study the radiation pattern, gain, VSWR and reflection co-efficient for a
microstrip patch antenna using HFSS. L3,L4
10. Design a circuit for generating pseudorandom signal using shift registers. L3,L4
11. Impedance measurements of Horn/Yagi/dipole/Parabolic Antenna L3,L4
12. Study of radiation pattern of E & H plane horns. L1,L2,L3,L4
Course outcomes: On the completion of this laboratory course, the students will be able to: Plot the radiation pattern of some antennas using matlab and wave guide setup Obtain the S-parameters of Magic tee and directional couplers. Test the IC CD4051 for modulation techniques. Study multiplexing techniques using OFC kit.
Graduate Attributes (as per NBA) Engineering Knowledge.
Problem Analysis.
Design/Development of solutions.
Advanced DSP 4-0-0(4.0)CORE
SEMESTER – II
Subject Code 17ECS21 CIE Marks 50
Number of Lecture Hours/Week 04 SEE Marks 50
Total Number of Lecture Hours 52 Total 100
Course objectives: This course will enable students: • With necessary background to pursue research in multiple areas of digital signal processing. • With knowledge of Understanding the Sampling rate conversion methods
• To Know finite word length effects in DSP systems • To explore non-parametric methods for power spectrum estimation and analyze power spectrum
estimation using parametric methods.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Introduction: Multirate Digital Signal Processing: Introduction, Decimation by a factor ‘D’, Interpolation by a factor ‘I’, Sampling rate Conversion by a factor ‘I/D’, implementation of Sampling rate conversion, Multistage implementation of Sampling rate conversion, Sampling rate conversion of Band Pass Signals, Sampling rate conversion by an arbitrary factor, Applications of Multirate Signal Processing, Digital Filter banks, Two Channel Quadrature Mirror Filter banks, M-Channel QMF bank (Text 1)..
10 Hours L1, L2,L3
Module -2
Transform Analysis of LTI systems: The frequency response of LTI systems, System functions for systems characterized by linear constant coefficient difference equations, frequency response for rational system functions, Relationship between magnitude and phase, All pass systems, minimum phase systems, linear systems with generalized linear phase (Text 2).
10 Hours L1, L2
Module -3
Linear Prediction and Optimum Linear Filters: Representation of a random process, Forward and backward linear prediction, Solution of normal equations, Properties of the linear error-prediction filters, AR lattice and ARMA lattice-ladder filters, Wiener filters for filtering and prediction (Text 1).
10 Hours L1,L2,L3
Module -4
Time frequency transformation: The Fourier Transform: Its Power and Limitations, The short Time Fourier Transform, The Gabor transform, The wavelet transform, Perfect reconstruction Filter Banks and Wavelets, Recursive Multi resolution Decomposition, Haar Wavelet (Text 3).
10 Hours L1,L2
Module -5
Hardware and Software for Digital Signal Processors: Digital signal processor
architecture, Digital signal processor hardware units, Fixed- point and floating-point
formats (Text 4).
10 Hours L1,L2
Course outcomes: After studying this course, students will be able to:
Explain sampling and reconstruction processes and Generate different signals at different sample rates and
determine the relevant parameters in specific applications
Deduce and apply correlation functions and power spectra for various signal classes, in particular for stochastic signals
Construct and apply simple multi-rate signal processing systems
Solve and interpret the result of signal processing problems by use of Matlab.
Design of simple, specific signal processing systems based on an analysis of involved signal characteristics, the
objective of the processing system, and utility of methods presented in the course.
Graduate Attributes (as per NBA):
• Engineering knowledge • Problem analysis • Design (Partly)
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the
sixth question from any of the modules.
The students will have to answer any 5 questions.
Reference Book:
1. Proakis and Manolakis, “Digital Signal Processing”, Prentice Hall, 4th edition, 1996.
2. Alan V. Oppenheim and Ronald W.Schafer, “Discrete-Time signal Processing”, PHI Learning, 2003.
3. Roberto Cristi, “Modern Digital Signal Processing”, Cengage Publishers, India, Eerstwhile Thompson
Publications, 2003.
4. Li Tan, “Digital Signal Processing – Fundamentals and Applications”, Elsevier, 2008.
5. S.K.Mitra, “Digital Signal Processing: A Computer Based Approach”, 3rd edition,
Tata McGraw Hill, India, 2007.
RF AND MICROWAVE CIRCUIT DESIGN 4-0-0(4.0) CORE
SEMESTER – II
Subject Code 17ECS22 CIE Marks 50
Number of Lecture Hours/Week 04 SEE Marks 50
Total Number of Lecture Hours 52 Total 100
Course objectives: This course will enable students to: 1. Analyze the wave propagation in RF/Microwave networks
2. Analyze the operation ofbasic components and its impedance transformations 3. Analyze low and high frequency parameters under RF/Microwave frequency. 4. Understanding the usage of smith chart and using to determine the transmission line parameters
5. Designing Impedance matching in transmission line networks
6. Understanding the manufacturing IC’s and designing the RF/Microwave mixers.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Wave propagation in network: Introduction, Reasons for using RF/Microwaves,
Applications’, RF waves, RF and Microwave circuit design, The unchanging
fundamental versus the ever – evolving structure, General active circuit block
diagrams.
RF electronics Concepts: Introduction to components basics, Resonant circuits,
Fundamental Concepts in wave Propagation: Definition of wave, Mathematical form of propagating wave, Properties of waves, transmission media,Microstrip line, Circuit representation of Two – port RF/Microwave Networks:Low frequency parameters, High frequency parameters, Properties of S - parameters
10
Hours L1,L2,L3
L4
Module -3
The Smith Chart: Introduction, Smith chart, Derivation of Smith chart, Description
of Two types of Smith charts, Smith chart circular scales, Smith chart radial Scales,
The normalized Impedance – Admittance chart.
Application of Smith chart: Distributed circuit applications
10
Hours L2,L3,L4
Module -4
Design of matching networks: Introduction, Definition of Impedance Matching, Selection of a Matching network, the goals of impedance matching, Design of
matching circuits using lumped elements, Design of matching circuits using Distributed elements.
Noise Consideration in active networks:Introduction, Importance of noise, Noise definition, Source of noise, Thermal noise analysis, Noise model of a noisy resistor, Equivalent noise temperature, Definition of noise figure, noise figure of a cascaded networks.
10
Hours L1,L2,L3,
L4
Module -5
RF/Microwave frequency Conversions II: Mixer Design: Introduction, Mixer
types, Conversion loss form SSB mixer, SSB Mixer versus DSB Mixer, One –
diode mixer, Two – diode mixer(qualitative analysis only),
RF/Microwave IC design: Introduction, Microwave integrated circuits, Types of
MIC’s, Hybrid versus Monolithic IC’s, Chip Mathematics
10
Hours
L1,L2
Course Outcomes: After studying this course, students will be able to: Acquire knowledge of
o Wave propagation in RF/Microwave networks. o Understanding operation of basic components o Different types of impedance transformations o Smith chart and its application o Different types of matching networks o Mixer design and IC fabrication.
Analyze the performance of Digital Modulation techniques. oDifferent filtering algorithms. o Spread spectrum communication system
Post Graduate Attributes (as per NBA): oEngineering Knowledge. oProblem Analysis. oDesign / development of solutions (partly). oInterpretation of data.
Question paper pattern: The question paper will have 6 full questions carrying equal marks one from each module with the
sixth question from any of the modules.
The students will have to answer any 5 questions.
Reference Books:
1. Matthew M. Radmanesh, "RF and Microwave Electronics Illustrated", Pearson Education edition, 2004. 2. Reinhold Ludwig, and Pavel Bretchko,"RF circuit design theory and applications", Pearson Education edition, 2004.
3.Samuel Y. Liao, "Microwave Devices and Circuits ", Prentice Hall of India Pvt. Ltd., 3rd edition, 2004.
WIRELESS COMMUNICATION 4-0-0(4.0) CORE SEMESTER – II
Subject Code 17ECS23 CIE Marks 50
Number of Lecture Hours/Week 04 SEE Marks 50
Total Number of Lecture Hours 52 Total 100
Course objectives: This course will enable students to:
Acquaint with principles of modeling of wireless channel. Learn various aspects of Rayleigh fading and diversity for point to point communication, Learn different digital modulation techniques in single channel. Learn wide band modulation techniques of single channel. Develop awareness wireless communication systems and standards. Learn the principles of MIMO Systems
Modules
Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Wireless channel: Physical modeling for wireless channels, I/O model of wireless
channels, time and frequency response, Statistical models. (Text-1)
Point-to-Point Communication I: Detection in Rayleigh fading channels, Time
diversity, Antenna diversity.
10 Hours
L1,L2
Module -2
Point-to-Point Communication II: Frequency diversity, Impact of the
channel uncertainty.(Text-1) Single Channel Digital Modulation Techniques: Digital modulation and performance parameters, constant envelope modulation schemes, variable envelope modulation schemes, differential ,I/Q offset modulation schemes, theoretical bandwidth efficiency limits, increasing spectrum efficiency and transmission power related issues.(Text-2)
10 Hours
L1,L2
Module -3
Wide band modulation techniques 2: Basic principles of orthogonality, Single vs Multicarrier systems, OFDM block diagram and its explanation, mathematical representation, selection parameters for modulation, pulse shaping in OFDM signal and spectral efficiency, windowing in OFDM signal and spectral efficiency, synchronization in OFDM, pilot insertion in OFDM transmission and channel estimation, amplitude limitations in OFDM,FFT points selection constraints in OFDM, CDMA vs OFDM, hybrid OFDM
10 Hours
L1,L2
Module -4
Wireless Communication Systems and standards 1:Broad cast networks:
Introduction, DAB, DRM, HD radio technology, DVB (latest version),DTH(Text 2) Wireless Communication Systems and standards 3:Ad Hoc Network, WLAN,
and WMAN: Introduction, Bluetooth Wi-fi , WiMAX standards, wireless sensor networks, Zigbee, UWB,IEEE 802.15.4,802.20 and beyond 631. (Text 2)
10 Hours
L1,L2
Module -5
MIMO Systems: Introduction, Space diversity and system based on space diversity, Smart antenna systems and MIMO, MIMO based system architecture; MIMO exploits multipath, Space time processing, Antenna considerations for MIMO. MIMO channel modeling, MIMO channel measurements, MIMO channel capacity, CDD, Space time coding, advantages and applications of MIMO, MIMO application in 3G.(Text-2)
10 Hours
L1,L2
Course Outcomes: After studying this course, students will be able to:
1. Understand the physical modeling of wireless channel.
2. Apply various aspects of Rayleigh fading and diversity for point to point communication,
3. Learn different digital modulation techniques in single channel.
4. Utilize the various concepts of wide band modulation techniques for single channel.
5. Learn different standards and systems for wireless communication.
6. Understand the various principles of MIMO Systems.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the sixth
2. C. Y. William, Lee, "Mobile communication engineering theory and applications", TMH, 2008.
3. Ke-Lin Du, ad M.N.S. Swamy, "Wireless communication systems-From RF subsystems to 4G
enabling Technologies", Cambridge,South Asian 2010 edition.
OPTICAL NETWORKS 4-0-0(4.0) CORE SEMESTER – II
Subject Code 17ECS24 CIE Marks 50
Number of Lecture Hours/Week 04 SEE Marks 50
Total Number of Lecture Hours 50 Total 100
Course objectives: This course will enable students to:
Mathematically analyze and conceptualize basics of optical networking and its associated nonlinear artifacts and effects.
Develop awareness regarding optical devices and their working strategies Develop awareness of WDM principles, and that of power penalty issues existent in optical Networks . Design second generation optical networks using various existent & devices like OADM, OLT and OXC
and to mathematically model the problems in the design of WDM networks Develop an awareness towards Photonic packet switching, OTDM, Multiplexing and demultiplexing,
Synchronisation.
Modules
Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Introduction to optical networks: Telecommunication networks, First generation
optical networks, Multiplexing techniques, Second generation optical networks,
System and network evolution. Non linear effects SPM, CPM, four wave mixing,
Solitons
10 Hours
L1,L2,
L3
Module -2
Components: Couplers, isolators and Circulators, Multiplexes and filters Optical
present and future access networks, HFC, FTTC, PON
10 Hours
L1,L2,
L3,L4
Module -5
Photonic packet switching, OTDM, Multiplexing and demultiplexing,
Synchronisation. Recent developments and trends
10 Hours
L1,L2,
L3
Course outcomes: After studying this course, students will be able to:
Demonstrate a comprehensive overview of Optical network evolution, explain and analyze basic non linear
phenomena in optical systems
Analyse and model the functioning of passive components essential for optical networks
Formulate, design and analyse issues related to transmission systems and access networks.
Demonstrate an ability to analyse issues related to routing, dimensioning and configurations of optical
networks
Analyse and articulate various concepts related to photonic methods of multiplexing and switching and recent
trends in optical networks.
Present investigations, based on technical papers and case studies by working in groups.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules.
The students will have to answer any 5 questions.
Reference Book: 1. Rajiv Ramswami and K. N. Sivarajan, "Optical Networks", Morgan Kauffman Publishers, 3
rd edition, 2010.
2. John M. Senior, "Optical fiber communication", Pearson edition, 2000. 3. Gerd Kaiser, "Optical fiber Communication Systems", John Wiley, New York, 1997. 4. P. E. Green, "Optical Networks", Prentice Hall, 1994.
Signal Processing Lab 0-0-2(2.0)
Semester II
Subject code 17ECS25 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total number of Lecture Hours 40 Total 100
Course objectives: This laboratory course enables students to
Implement (MATLAB) basic operations on signals
Understand signal behaviour in time domain and frequency domain
Understand Sampling rate variation using decimation and interpolation
Understand the concept of power spectrum
Pursue research work in signal processing
Laboratory Experiments:
Hardware and software implementation of the following 1. Generate various fundamental discrete time signals using DSP kit TMS 320C6713 and MAT lab
respectively. Basic operations on signals (Multiplication, Folding, Scaling). Convolution, FFT of
Signal.
2. Find out DFT and IDFT of a given sequence.
3. Design a discrete low pass filter, Rectangular window, Hamming window, Kaiser window, Bartlett
window, Blackman window, Hanning window
4. Estimate the PSD (powder spectral density) of a noisy signal using periodogram and modified
periodogram. 5. Program for the design of Butterworth Low pass filter, High pass filter, Band pass filter and Band
stop filter. 6. Sampling rate variation using decimation and interpolation of a given sequence.
7. IIR filter design using Impulse invariant method and Bilinear transformation method.
8.
Response of LTI systems to different inputs with the LTI system is defined by the difference
equation.
9.
Design IIR & FAR simple digital filters using the relationship between pole and zeros and the
frequency response of the system.
10.
Determine The effect of time domain windowing. Example
Generate a signal with two frequencies x(t)=3 Cos(2Pi f1*t)+2 Cos(2Pi f2*t)sampled at fs=8kHz.
Let
f1=1kHz and f2=f1+'A" and the overall
data length be N=256points.
a) From theory, determine the minimum value of 'A' necessary to distinguish between the two
frequencies.
b) Verify this result experimentally, Using the rectangular window, look at the DFT with several
values of 'A' so that you verify the resolution.
(c) Repeat part (b0 using a hamming window. How did the resolution change?
11.
To compare DFT and DCT (in terms of energy compactness)
Example Generate the sequence x[n]=n-64 for n=0, ...127.
(a) Let X[k] = DFT{x[n]}. For various values of l, set to zero "high frequency coefficients" X[64
l]= ....X[64]= ......X[64+L]=0 and take the Inverse DFT. Plot the results.
(b) Let XDCT[k] =DCT(X[n]). For the same values of L, set to zero "high frequency coefficient"
XDCT [127-L] = ....XDCT [127]. Take the
Inverse DCT for each case and compare the reconstruction with the previous case.
Course objectives: This course will enable students to: Develop an awareness towards basic networking principles Learn various aspects involved in multiple access and multiplexing Develop an awareness regarding the LAN architectures and the various data switching techniques Learn the scheduling techniques of networks Learn protocols operating in at different layers of computer networks Develop an awareness towards the network control and traffic management
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Introduction to networks: Computer network, Telephone networks, Networking
point control (Text 2). Internet protocols- IP, TCP, UDP, ICMP, HTTP (Text 2).
08 Hours
L1,
L2, L3
Module -4 Traffic Management: Introduction, framework for traffic management, traffic models, traffic classes, traffic scheduling (Text 2). Control of Networks: Objectives and methods of control, routing optimization in
circuit and datagram networks, Markov chains, Queuing models in circuit and
datagram networks (Text 1).
08 Hours
L1,
L2, L3
Module -5
Congestion and flow control: Window congestion control, rate congestion control, control in ATM Networks (Text 1), flow control model, open loop flow control, closed loop flow control (Text 2).
08 Hours
L1,L2,
L3,L5
Course outcomes: After studying this course, students will be able to: Choose
o appropriate multiple access and multiplexing techniques as per the requirement. o standards for establishing a computer network o switching techniques based on the applications of the network o IP configuration for the network with suitable routing, scheduling, error control and flow control
Analyze and develop various network traffic management and control techniques
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the
sixth question from any of the modules.
The students will have to answer any 5 questions.
Reference Books: 1. J. Walrand and P. Varaya, "High performance communication networks", Harcourt Asia (Morgan
Kaufmann), 2000. 2. S. Keshav, "An Engineering approach to Computer Networking", Pearson Education, 1997.
3. Leon-Garcia, and I. Widjaja, "Communication network: Fundamental concepts and key architectures", TMH,
2000. 4. J. F. Kurose, and K. W. Ross, "Computer networking: A top down approach featuring the Internet", Pearson Education, 2001.
NANOELECTRONICS 3-0-0(3.0)ELECTIVE
Semester I/II
Subject Code 17ECS182/282 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total Number of Lecture Hours 40 Total 100
Prerequisite Course objectives: Enhance basic engineering science and technological knowledge of nano electronics.
Explain basics of top-down and bottom-up fabrication process, devices and systems. Describe technologies involved in modern day electronic devices.
Appreciate the complexities in scaling down the electronic devices in the future.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Introduction: Overview of nanoscience and engineering. Development Milestones in microfabrication and electronic industry. Moores’ law and continued
miniaturization, Classification of Nanostructures, Electronic properties of atoms and solids: Isolated atom, Bonding between atoms, Giant molecular solids, Free electron
models and energy bands, crystalline solids, Periodicity of crystal lattices, Electronic
conduction, effects of nanometerlength scale, Fabrication methods: Top down
processes, Bottom up processes methods for templating the growth of
nanomaterials, ordering of nanosystems (Text 1).
8 hours L1, L2
Module -2
Characterization: Classification, Microscopic techniques, Field ion microscopy,
scanning probe techniques, diffraction techniques: bulk and surface diffraction
Course outcomes: After studying this course, students will be able to: Know the principles behind Nanoscience engineering and Nanoelectronics. Apply the knowledge to prepare and characterize nanomaterials.
Know the effect of particles size on mechanical, thermal, optical and electrical properties of
nanomaterials.
Design the process flow required to fabricate state of the art transistor tech nology. Analyze the requirements for new materials and device structure in the futu re technologies.
Graduate Attributes (as per NBA): o Engineering Knowledge. Problem Analysis. Design / development of solutions (partly).
o Interpretation of data.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the
sixth question from any of the modules.
The students will have to answer any 5 questions.
Reference Books: 1. Ed Robert Kelsall, Ian Hamley, Mark Geoghegan, “Nanoscale Science and Technology”, John Wiley,
2007. 2. Charles P Poole, Jr, Frank J Owens, “Introduction to Nanotechnology”, John Wiley, Copyright 2006,
Reprint 2011. 3. Ed William A Goddard III, Donald W Brenner, Sergey E. Lyshevski, Gerald J Iafrate, “Hand Book of
Nanoscience Engineering and Technology”, CRC press, 2003.
Graduate Attributes (as per NBA): o Engineering Knowledge. Problem Analysis. Design / development of solutions (partly).
o Interpretation of data.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the
sixth question from any of the modules.
The students will have to answer any 5 questions.
Reference Books:
1. Philip Golden HervéDedieu Krista Jacobsen. Fundamentals of DSL Technology. Auerbach Publications -
Taylor & Francis Group. 2006.
2. T. Starr, J.M. Cioffi, and P.J. Silverman. Understanding Digital Subscriber Line Technology. Prentice-
Hall, Upper Saddle River, NJ, 1999.
3. J.A.C. Bingham. ADSL, VDSL and Multi-Carrier Modulation. Wiley-Interscience, New York, NY,2000.
4. Philip Golden HervéDedieu Krista Jacobsen, ‘ Implementation and Application of DSL’ Auerbach
Publications -Taylor & Francis Group. 2008.
5. W.Y. Chen. DSL: Simulation Techniques and Standards Development for Digital Subscri
Lines.Macmillan, New York, 1998.
6. D. Rauschmayer. ADSL/VDSL Principles: A Practical and Precise Study of Asymmetric Digital
SubscriberLines and Very High Speed Digital Subscriber Lines. Macmillan Technical Publishing, 1998. T. Starr, M. Sorbara,J.M. Cioffi, and P.J. Silverman. DSL Advances. Prentice-Hall, Upper SaddleRiver,
NJ, 2002.
SIMULATION, MODELING AND ANALYSIS 3-0-0(3.0) Global Elective SEMESTER – I/II
Subject Code 17ECS184/284 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total Number of Lecture Hours 40 Total 100
Prerequisite
Course objectives: This course will enable students to:
Understand the process of simulation and modeling
Learn simulation of deterministic and probabilistic models, with a focus of statistical data analysis and simulation
data.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Basic Simulation Modeling:
Nature of simulation, Systems, Models and Simulation, Discrete- Event Simulation,
Simulation of Single Server Queuing System, Simulation of inventory system,
Parallel and distributed simulation and the high level architecture, Steps in sound
simulation study, and Other types of simulation, Advantages and disadvantages. 1.1, 1.2, 1.3, 1.4, 1.4.1, 1.4.2, 1.4.3, 1.5, 1.5.1, 1.5.2, 1.6, 1.7, 1.8, 1.9 of Text)
08 Hours L1, L2
Module -2
Review of Basic Probability and Statistics
Random Variables and their properties, Simulation Output Data and Stochastic
Processes, Estimation of Means, Variances and Correlations, Confidence Intervals
and Hypothesis tests for the Mean
Building valid, credible and appropriately detailed simulation models:
Introduction and definitions, Guidelines for determining the level of
models detail, Management’s Role in the Simulation Process, Techniques for
increasing model validity and credibility, Statistical procedure for comparing the
real world observations and simulation output data. (4.2, 4.3, 4.4, 4.5, 5.1, 5.2, 5.4, 5.5, 5.6, 5.6.1, 5.6.2 of Text)
08 Hours L1, L2,L3
Module- 3
Selecting Input Probability Distributions:
Useful probability distributions, activity I, II and III. Shifted and truncated
distributions; Specifying multivariate distribution, correlations, and stochastic
processes; Selecting the distribution in the absence of data, Models of arrival
process (6.2, 6.4, 6.5, 6.6, 6.8, 6.10, 6.11, 6.12 of Text).
08 Hours L1, L2, L3
Module -4
Random Number Generators:
Linear congruential Generators, Other kinds, Testing number generators,
Generating the Random Variates:
General approaches, Generating continuous random variates, Generating discrete
random variates, Generating random vectors, and correlated random variates;
Transient and steady state behavior of a stochastic process; Types of simulations
with regard to analysis; Statistical analysis for terminating simulation; Statistical
analysis for steady state parameters; Statistical analysis for steady state cycle
08 Hours L1, L2, L3
parameters; Multiple measures of performance, Time plots of important variables. (9.2, 9.3, 9.4, 9.4.1, 9.4.3, 9.5, 9.5.1, 9.5.2, 9.5.3, 9.6, 9.7, 9.8 of Text)
Course Outcomes:
After studying this course, students will be able to:
Define the need of simulation and modeling.
Describe various simulation models.
Discuss the process of selecting of probability distributions.
Perform output data analysis.
Post Graduate Attributes (as per NBA):
Engineering Knowledge.
Problem Analysis.
Design and development of solutions.
Interpretation of data
Question paper pattern: The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules.
The students will have to answer any 5 questions.
Reference Book:
1. Averill Law, "Simulation modeling and analysis", McGraw Hill 4th edition, 2007.
2. Tayfur Altiok and Benjamin Melamed, “Simulation modeling and analysis with ARENA”,
Elsevier, Academic press, 2007.
3. Jerry Banks, "Discrete event system Simulation", Pearson, 2009
4. Seila Ceric and Tadikamalla, "Applied simulation modeling", Cengage, 2009.
5. George. S. Fishman, "Discrete event simulation", Springer, 2001.
6. Frank L. Severance, "System modeling and simulation", Wiley, 2009.
SOFTWARE DEFINED RADIO 3-0-0(3.0)ELECTIVE
SEMESTER – I/II
Subject Code 17ECS185/285 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total Number of Lecture Hours 40 Total 100
Prerequisite
Course Objective: The objective of this course is to make students understand the fundamental
technologies associated with software defined radio, explore with capabilities and limitations in software
and hardware implementations of SDR.
Modules
Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Introduction: Radio, Software defined radio, Adaptive Coding and Modulation,
Dynamic Bandwidth and Resource Allocation, Hierarchical Cellular Networks,
Cognitive Radio, Green Radio, Unexpected problems in SDR implementations,
Disadvantages of SDR, Cost and Power, Complexity, Limited Scope.
8 Hours
L1,L2,
L3,L6
Module -2
Signal Processing Architectures: GPP-Based SDR,FPGA-Based SDR, Multi-Channel
SDR 8 Hours
L1,L2,
L3,L6
Module -3
SDR Standardization: Software Communications Architecture and JTRS, STRS,
Physical Layer Description-SDRPHY 8 Hours
L1,L2,
L3,L6
Module -4
Software-Centric SDR Platforms: GNU Radio-Signal Processing blocks, Scheduler,
Basic GR Development Flow, Other All-Software Radio Frameworks
8 Hours
L1,L2,
L3,L6
Module -5
State-of-the-Art SDR Components: SDR Using Test Equipment- Transmitters,
Receivers, tunable filters, flexible antennas, MIMO Antennas. 8 Hours
L1,L2,
L3,L6
Course Outcomes: At the end of the course the student will be able to: 1. Understand the concepts of radio and software defined radio.(L1,L2)
2. Learn disadvantages of SDR and signal processing architectures associated with SDR.(L1,L2,L3)
3. Know standardizations available to develop SDR platforms.(L1,L2)
4. Understand software centric SDR platforms and blocks associated with it.(L1,L2)
5. Learn about state of the art SDR components available in the market.(L1,L2)
6. Do simple hands on experiments to demonstrate SDR.(L3,L4)
Post Graduate Attributes (as per NBA):
Engineering Knowledge.
Problem Analysis.
Design and development of solutions.
Interpretation of data
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the sixth
question from any of the modules. The students will have to answer any 5 questions.
Reference Books:
1. Eugene Grayver: Implementing Software Defined Radio, Springer Science+Business Media New York 2013
2. Martin Ewing: The ABCs of Software Defined Radio, ARRL Inc.- 2012
Multimedia Communication 3-0-0(3.0)ELECTIVE Semester I/II
Subject Code 17ECS186/286 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total Number of Lecture Hours 40 Total 100
Prerequisite
Modules
Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Multimedia Communications: multimedia information representation, multimedia
Information Representation: text, images, audio and video, Text and image
compression, compression principles, text compression, image
compression. Audio and video compression, audio compression, video compression,
video compression principles, video compression standards:
H.261, H.263, P1.323, MPEG 1, MPEG 2, Other coding formats for text, speech,
image and video.(Ref 1 Chap 3 &4)
8 Hours
L1,L2
Module -3
Detailed Study of MPEG 4: coding of audiovisual objects, MPEG 4 systems, MPEG
4 audio and video, profiles and levels. MPEG 7
standardization process of multimedia content description, MPEG 21 multimedia
framework, Significant features of JPEG 2000, MPEG 4
transport across the Internet. (Ref2. Chap.5)
8 Hours
L1,L2
Module -4
Synchronization: Notion of synchronization, presentation requirements, reference
model for synchronization, Synchronization specification.
Multimedia operating systems, Resource management, process management
techniques. (Ref. 3. Cahp 9 & 11)
8 Hours
L1,L2
Module -5
Multimedia Communication Across Networks: Layered video coding, error
resilient video coding techniques, multimedia transport across IP
networks and relevant protocols such as RSVP, RTP, RTCP, DVMRP, multimedia in
mobile networks, multimedia in broadcast networks.
(Ref.2 Chap. 6)
8 Hours
L1,L2
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the
sixth question from any of the modules.
The students will have to answer any 5 questions.
Reference Books:
1. Fred Halsall, “Multimedia Communications”, Pearson education, 2001
2. K. R. Rao, Zoran S. Bojkovic, Dragorad A. Milovanovic, “Multimedia Communication Systems”,
Pearson education, 2004.
MEMS AND MICRO SYSTEMS 3-0-0(3.0) SEMESTER – I/II
Subject Code 17ECS187/287 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total Number of Lecture Hours 40 Total 100
Course objectives: This course will enable students to: Provide knowledge of MEMS & Microsystems devices Provide knowledge of Working Principles of Microsystems, various sensors and actuators Educate Engineering Mechanics for Microsystems Design and fabrication Understand different materials used for MEMS To educate on the rudiments of Micro fabrication techniques. Understand Microsystems Design and Fabrication.
Modules Teaching
Hours
Revised Bloom’s
Taxonomy(RBT)
Level
Module -1
Overview Of Mems & Microsystems: MEMS & Microsystems, Typical
MEMS and Micro system products — features of MEMS, The
multidisciplinary nature of Microsystems design and manufacture.
Working Principles Of Microsystems: Introduction, Micro sensors, Micro
actuation, MEMS with Micro actuators, Micro accelerometers, Microfluidics,
(Text 1: Ch. 1, 2)
08
Hours L1, L2, L3
Module -2
Engineering Science For Microsystems Design And Fabrication:
Introduction, Atomic structure of Matter, Ions and Ionization, Molecular
Theory of Matter and Intermolecular Forces, Doping of Semiconductors, The
Morphological Image Processing: Preliminaries, Dilation and Erosion,
Opening and Closing, The hit or Miss Transformation, Some basic
Morphological Algorithms.
Image Segmentation: Detection of Discontinuities, Edge Linking and
Boundary Detection, Thresholding.
08 Hours
L1,L2,L3
Course Outcomes: The students should be able to: • Understand image formation and the role human visual system plays in perception of gray and color image data. • Apply image processing techniques in both the spatial and frequency (Fourier) domains. • Design image analysis techniques in the form of image segmentation and to evaluate the Methodologies for
segmentation. • Conduct independent study and analysis of feature extraction techniques. • Understand the concepts of image registration and image fusion. • Analyze the constraints in image processing when dealing with 3D data sets and to apply
image • Apply algorithms in practical applications.
Post Graduate Attributes (as per NBA): Engineering Knowledge. Problem Analysis. Design / development of solutions (partly). Interpretation of data.
Question paper pattern:
The question paper will have 6 full questions carrying equal marks one from each module with the sixth question
from any of the modules.
The students will have to answer any 5 questions.
Reference Books:
1. Rafael C Gonzalez and Richard E. Woods: Digital Image Processing, PHI 2nd
Edition 2005.
2. S. Sridhar : Digital Image Processing, Oxford University Press India, 2011.
3. A.K. Jain: Fundamentals of Digital Image Processing, Pearson, 2004.
4. Scott E. Umbaugh: Digital Image Processing and Analysis, CRC press, 2014.
5. S.Jayaraman, S. Esakkirajan, T. Veerakumar:Digtial Image Processing, McGraw Hill Ed. (India) Pvt.
Ltd., 2013.
Sensors and its Applications 3-0-0(3.0) Global Elective SEMESTER – I/II
Subject Code 17ECS191/291 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total Number of Lecture Hours 40 Total 100
Prerequisite
Course objectives: This course will enable students to: Provide the knowledge of sensing and sensor fundamentals Understand the Sensor Technology Components: Hardware and Software Understand the sensor Deployments for Home and Community Settings: Provide knowledge of Body-Worn, Ambient, and Consumer Sensing for Health Applications and
Environmental Monitoring for Health and Wellness. Provide knowledge of Optical Fiber Sensors for Civil Engineering Applications Understand Flow Sensors and applications.
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
Introduction: A Brief History of Sensors: Drivers for Sensor Applications. Challenges
for Sensor Applications. Sensors Enabling Innovation
Sensing and Sensor Fundamentals: What Is a Sensor and What Is Sensing?
Introduction to the Key Sensing Modalities Mechanical Sensors Optical Sensors,
HOUSE, INC. 685 Canton Street Norwood, MA 02062 3. AntónioBarrias Joan R. Casas and SergiVillalba “Distributed Optical Fiber Sensors forCivil Engineering
Applications” Published: 23 May 2016.
CMOS VLSI Design and Testing 3-0-0(3.0)ELECTIVE SEMESTER – I/II
Subject Code 17ECS192/292 CIE Marks 50
Number of Lecture Hours/Week 03 SEE Marks 50
Total Number of Lecture Hours 40 Total 100
Prerequisite
Course Objectives: The student will learn
1. The MOS device behaviour in Subthrehold region
2. All the non-ideal characteristics of the MOSFET
3. To estimate delay, power and do Transistor sizing
4. Designing the building blocks of VLSI
5. Designing different types of memory
6. Different testing and Verification methods followed for VLSI Chips
Modules Teaching
Hours
Revised
Bloom’s
Taxonomy
(RBT)
Level
Module -1
MOS Transistor Theory: Introduction, Ideal V-I Characteristics, C-V
Characteristics, Non-ideal V-I Effects, DC Transfer Characteristics, Switch-
level RC Delay Models
8 hours ( L1, L2)
Module -2
Introduction, Circuit Characterization and Performance Estimation: Delay
Estimation, Logical Effort and Transistor Sizing, Power Dissipation,