# Academics – Course Programs

**E0 246 (JAN) 3:1 **

**Real – time Systems **

Hard and soft real-time systems, deadlines and timing constraints, workload parameters, periodic task model, precedence constraints and data dependency, real time scheduling techniques, static and dynamic systems, optimality of EDF and LST algorithms, off-line and on-line scheduling, clock driven scheduling, cyclic executives, scheduling of aperiodic and static jobs, priority driven scheduling, fixed and dynamic priority algorithms, schedulable utilization, RM and DM algorithms, priority scheduling of aperiodic and sporadic jobs, deferrable and sporadic servers, resource access control, priority inversion, priority inheritance and priority ceiling protocols, real-time communication, operating systems.

The Laboratory Classes will be conducted using TI C2000 Platform

**Rathna G N**

**References**:

Jane, Liu W S, Real-Time Systems, Pearson Education, New Delhi, 2001.

Krishna C M and Kang G Shin, Real-time Systems, Tata McGraw-Hill, 2010.

TI C2000 Platform Manuals.

Current literature.

**E0 247 (AUG) 3:1**

**Sensor Networks**

Basic concepts and issues, survey of applications of sensor networks, homogeneous and heterogeneous sensor networks, topology control and clustering protocols, routing and transport protocols, access control techniques, location awareness and estimation, security information assurance protocols, data fusion and management techniques, query processing, energy efficiency issues, lifetime optimization, resource management schemes, task allocation methods, clock synchronization algorithms. A Wi-Fi application, Communication between MSP 430 based Sensor nodes and with addition of Extra Sensors. Compute Total Energy and estimated life of Battery.

**Rathna G N**

**Pre-requisite**: Consent of Instructor

**References**:

Raghavendra C S, Shivalingam K M and Znati T, Wireless Sensor Networks, Springer, New York, 2004.

Zhao T and Guibas L, Wireless Sensor Networks, An Information processing Approach, Morgan Kauffmann, San Fransisco 2004.

TI MSP 430 Platform Manuals and Current Literature.

**E0 265 (JAN) 3:1**

**Convex Optimization and Applications **

The focus of the course will be on the fundamental aspects of convex analysis and optimization, both in terms of theory and algorithms. We will also look at various applications of convex optimization in inverse problems, signal processing, image reconstruction, communications, statistics, and machine learning. In the process of understanding the foundations of various algorithms, the students will be introduced to relevant topics in convex analysis and duality.

**Topics **

Review of relevant topics in real analysis, linear algebra, and topology. Topics in convex analysis: convex sets and functions, analytical and topological properties, projection onto convex sets, hyperplanes, separation theorems, sub-gradients, etc. Duality and its applications: Optimality conditions, duality, minimax theory, saddle points, KKT conditions.

Canonical programs for constrained optimization: Linear programming, cone programming, and semidefinite programming.

Classical algorithms: simplex, ellipsoid, and interior-point methods. Modern algorithms: accelerated gradient methods, proximal methods, FISTA, forward-backward splitting, augmented Lagrangian, ADMM, etc.

Discussion of some of the popular applications of convex optimization.

**Kunal Narayan Chaudhury**

**References:**

Boyd S and Vandenberghe L, Convex Optimization,Cambridge University Press, 2004.

Bertsekas D P, Convex Optimization Theory, Athena Scientific, 2009.

Bertsekas D P, Nonlinear Programming, Athena Scientific, 1999.

**E0 332 (AUG) 3:0
Matrix Analysis**

Spectral theory of self-adjoint mappings, variational characterization of eigenvalues, perturbation theory for eigenvalues and eigenspaces of normal matrices, majorization and doubly stochastic matrices, numerical range of matrices, Perron-Frobenius theory, calculus of matrix-valued and vector-valued functions, and matrix inequalities.

**Kunal Narayan Chaudhury**

**Prerequisites:** Calculus and Linear Algebra.

**References:**

Bellman, R, Introduction to Matrix Analysis, SIAM, 1987.

Bhatia, R, Matrix Analysis, Springer, 1997.

**E1 213 (JAN) 3:1**

**Pattern Recognition and Neural Networks**

Introduction to pattern recognition, Bayesian decision theory, supervised learning from data, parametric and non parametric estimation of density functions, Bayes and nearest neighbor classifiers, introduction to statistical learning theory, empirical risk minimization, discriminant functions, learning linear discriminant functions, Perceptron, linear least squares regression, LMS algorithm, artificial neural networks for pattern classification and function learning, multilayer feed forward networks, backpropagation, RBF networks, deep neural Networks, Auto encoders, CNNs, support vector machines, kernel based methods, feature selection and dimensionality reduction methods.

**P S Sastry**

**Pre-requisite**: Knowledge of Probability theory

**References:**

Dudo R O, Hart P E & Stork D G, Pattern Classification John Wiley & sons, 2002.

Bishop C M, Neural Network & Pattern Recognition, Oxford University Press(Indian Edition) 2003.

**E1 216 (JAN) 3:1**

**Computer Vision**

This course will present a broad, introductory survey intended to develop familiarity with the approaches to modeling and solving problems in computer vision. Mathematical modeling and algorithmic solutions for vision tasks will be emphasised. Image formation: camera geometry, radiometry, colour. Image features: points, lines, edges, contours, texture; Shape: object geometry, stereo, shape from cues; Motion: calibration, registration, multiview geometry, optical flow; approaches to grouping and segmentation; representation and methods for object recognition. Applications;

**Venu Madhav Govindu**

**References:**

David Forsyth and Jean Ponce , Computer Vision: A Modern Approach, Prentice-Hall India, 2003

Hartley R and Zisserman A, Multiple View Geometry in Computer Vision, Second Edition, Cambridge University Press, 2004.

Current literature

**E1 222 (AUG) 3:0**

**Stochastic Models and Applications**

Probability spaces, conditional probability, independence, random variables, distribution functions, multiple random variables and joint distributions, moments, characteristic functions and moment generating functions, conditional expectation, sequence of random variables and convergence concepts, law of large numbers, central limit theorem, stochastic processes, Markov chains, Poisson process.

**P S Sastry**

**References:**

Ross S M, Introduction to Probability Models, (6th Edition), academic Press and Hardcourt Asia, 2000.

Hoel P G, Port S C, and Stone C J, Introduction to Probability Theory, Indian Edition, Universal Book Stall, New Delhi, 1998.

Hoel P G, Port S C, and Stone C J, Introduction to Stochastic Process, Indian Edition, Universal Book Stall, New Delhi, 1981.

**E1 241 (AUG) 3:0**

**Dynamics of Linear Systems**

Background material on matrix algebra, differential equations. Representation of dynamic systems, equilibrium points and linearization. Natural and forced response of state equations, state space descriptions, canonical realizations. Observability and controllability, minimal realization. Linear state variable feedback, stabilization, modal controllability, Jordan form, functions of matrices, pole-placement, Lyapunov matrix equations. Asymptotic observers, compensator design, and separation principle. Preliminary quadratic regulator theory.

**Pavan Kumar Tallapragada**

**References:**

Chi-Tsong Chen, Linear Systems Theory and Design, HBJ 1984.

Kailath T, Linear System Theory, Prentice Hall, 1980.

Joao P. Hespanha, Linear System Theory, Princeton University Press, 2009

**E1 242 (JAN) 3:0
Nonlinear systems and control**

Equilibria and qualitative behavior. Existence and uniqueness of solutions. Lyapunov stability, invariance principle, converse theorems, ultimate boundedness, input-to-state stability. Input-output stability, small-gain theorem. Passivity. Feedback linearization, gain scheduling, sliding mode control, backstepping.

Additional topics: Intro to switched and hybrid systems. Applications in networked control such as control over channels with quantization, sampling, time delays; applications in distributed systems and control such as consensus, synchronization, coverage, etc.

**Prerequisites:**

E1-241 “Dynamics of linear systems” or equivalent; Or background in linear algebra and ordinary differential equations; Or permission of the instructor.

**Pavan Kumar Tallapragada**

**References:
**Khalil, H. K., Nonlinear Systems. Prentice Hall, 3 edition, 2002.

Sastry, S. S., Nonlinear Systems: Analysis, Stability and Control. Number 10 in Interdisciplinary Applied Mathematics. Springer, 1999.

Sontag, E. D., Mathematical Control Theory: Deterministic Finite Dimensional Systems, volume 6 of TAM. Springer, 2 edition, 1998

**E1 251 (AUG) 3:0**

**Linear and Nonlinear Optimization**

Necessary and sufficient conditions for optima; convex analysis; unconstrained optimization; descent methods; steepest descent, Newton’s method, quasi Newton methods, conjugate direction methods; constrained optimization; Kuhn-Tucker conditions, quadratic programming problems; algorithms for constrained optimization; gradient projection method, penalty and barrier function methods, linear programming, simplex methods; duality in optimization, duals of linear and quadratic programming problems

**Muthuvel Arigovindan**

**References:**

Luenberger D G,Introduction to Linear and Nonlinear Programming, 2nd edition, Addison Wesley, 1984.

Jorge Nocedal and Stephen J. Wright, Numerical Optimization, Second Edition, Springer, 2000.

Edwin Chong, Stanislaw Zak, An Introduction to Optimization, Wiley Student Edition.

**E2 212 (AUG) 3:0
Matrix Theory **

Vectors, vector norms, vector algebra, subspaces, basis vectors, Gramm-Schmidt orthonormalization. Matrices, matrix rank, matrix norms, determinant, inverse, condition number. Hermitian and symmetric matrices, positive definite matrices, unitary matrices, projection matrices and other special matrices. LDU decomposition, QR decomposition, eigenvalue decomposition, singular value decomposition. Solving linear system of equations using Matrices. Least-squares approach, total least squares approach. Numerical issues. Perturbation theory of matrices. Differentiation of scalar functions of vectors and matrices. Matrix functions of scalar variables, Kronecker product of matrices. Positive matrices, nonnegative matrices, stochastic matrices and Markov

chains.

**A G Ramakrishnan**

**References:**

Carl D Meyer, Matrix Analysis and Applied Linear Algebra, SIAM Publication, 2000

Theodore Shifrin and Malcolm Ritchie Adams, Linear Algebra: A Geometric Approach, W H Freeman and Comapany, Second Edition, 2011

Gilbert Strang, Linear Algebra and its Applications, Fourth Edition, Thomson Brooks/Cole, 2007.

Horn, and Johnson, Matrix Analysis, Second Edition, Cambridge University press, 2017

Golub, and Van Loan, Matrix Computations, Fourth Edition, John Hopkins University Press, 2015

**Introduction to Solid State Electronic Devices **

Charge transport in semiconductors, Junctions, MOSFET, BJT, Power diode, Power MOSFET, IGBT, SCR, an introduction to devices with wide band gap semiconductors including SiC Schottky Diodes (no reverse recovery); SiC MOSFETs (up to 1.8 kV), and GaN HFETs (650 V).

**Sudarshan Tangali**

**Prerequisite:** Basic undergraduate Physics Courses

**References:**

Ben G. Streetman and Sanjay Kumar Banerjee, Solid State Electronic Devices,Seventh Edition, Pearson.

Robert F. Pierret, Semiconductor Device Fundamentals,Addison-Wesley Publishing.

Jacob Millman, MicroEectronics,McGraw-Hill International Company

**E3 252**** (JAN) 3:1 **

**Embedded System Design for Power Application**

Digital Signal Controller (A micro-controller with a DSP engine): Architecture and real time programming in Assembly and Embedded C. Introduction to Fixed Point Arithmetic. Understanding the constraints of program memory and execution time.Programming peripherals including GPIO, TIMERS,etc. On Chip FLASH NAD eepprom PROGRAMMING. Field Programmable Gate Array (FPGA): Architecture and programming of digital circuits including Finite State Machines (FSM) in Verilog HDL.Understanding the CAD tool and various timing isues. Communication-Chip level: AXI, Board level: SPI, I2C, System level: RS 232, CAN, MODBUS RTU on RS 485. Developing a GUI for supervisory control and monitoring. Introduction to different semiconductor memories: RAM, ROM, NVRAM etc. and their applications. Analog sensing: Anti-aliasing filter design, scaling, online calibration and biasing. Continuous time feedback controller design and its discrete timeimplementation, D/A and A/D converters, effects of sampling, modeling the Pulse Width Modulator (PWM) etc.Co-design: How to optimally implement an embedded task using a programmable processor (DSC) and a re-configurable hardware (FPGA). Embedded design of a typical Power Conversion System including: process control, protection, monitoring, real-time feedback control etc.

**Kaushik Basu **

**Prerequisite:** Under graduate level analog electronics, digital electronics and classical feedback control theory.

Familiarity with micro-processor, digital signal processing.

previous experience in programming will be helpful but not a necessity.

**References:**

Brown S, and Vranesic Z, Fundamentals of Digital logic with Verilog design, McGraw Hill Education 2017.

Mazidi, Mckinlay and Causey, PIC Micro-controllers and Embedded Systems, Pearson education India: First Edition 2008.

Franklin G F, Powell J D and Naeini, Feedback Control of Dynamic Systems, Pearson 2008.

Sedra A. S and Smith K, Microelectronic Circuits: theory and Applications, Oxford University Press, 2017

Proakis J G and Manolakis D K, Digital Signal Processing, Pearson 2007.

Lucca Corradini, Dragan Maksimovic, Paolo Mattavelli, and Regan Zane, Digital Control of High-Frequency Switched-Mode Power Converters, Wiley-Blackwell, 2015.

Patrick R. Schaumont, A Practical Introduction to Hardware/Software, Springer 2nd Edition, 2014

**E3 269**** (AUG) 0:1 **

**Electronic Circuits Laboratory**

Linear and nonlinear applications of operational amplifiers, inverting and non-inverting amplifiers, differential amplifiers, phase-shifting circuits, active filters, oscillators, comparators waveform generating circuits. Logic circuits, flipflops, counters and timers. Voltage controlled oscillators, phase locked loops, frequency multiplier and divider circuits. Electronic circuits relevant for power electronic converters, power systems measurements and protection of power apparatus.

**G Narayanan and U J Shenoy**

**References:**

Horowitz P, and Hill W, The art of electronics, Cambridge University Press, 1989.

Millman J, and Halkias C C, Integrated electronics: Analog and digital electronic circuits and systems, Tata McGraw Hill.

Sedra A S, and Smith K C, Microelectronic circuits, Fifth Edn, Oxford University Press.

Technical datasheets and application notes from manufacturers.

**E4 221**** (AUG) 2:1**

**DSP and AI Techniques in Power System Protection **

Introduction to digital relaying, signal conditioning, sampling and analog to digital conversion, real time considerations, hardware design concepts – microcontroller/DSP based, single/multiprocessor based. Relaying algorithms, software considerations. Digital protection schemes for feeders, transmission lines, generators and transformers, integrated protection scheme – a case study, New relaying principles based on AI techniques, ANN approach and Fuzzy Logic (FL) methods for fault detection and fault location. Software tools for digital simulation of relaying signals, playback simulators for testing of protective relays Laboratory Exercises – Digital techniques for the measurement of phasors, frequency and harmonics, implementation of relaying algorithms and digital protection schemes on hardware platforms. Testing of relays, transient tests based on EMTP data. Design procedures of AI based relays using software tools. Mini-projects.

**U J Shenoy **

**References:**

Warrington A R, and Von C, Protective Relaying: Theory and Practice, Vol. II, Chapman and Hall, 1970.

IEEE Tutorial Course on Microprocessor Relays and Protection Systems, Power Systems Research Group, University of Saskatchewan, 1979 and 1987.

Phadke A G, and Thorp J, Computer Relaying for Power Systems, John Wiley, Inc. 1988.

IEEE Tutorial Course on Advancement in Microprocessor Based Protection and communication, 1997.

Technical papers from IEEE transactions, CIGRE, IEE journals.

**E4 231**** (AUG) 3:0**

**Power System Dynamics and Control**

Introduction to system dynamics, concepts of stability, modeling of generator, transmission networks, loads and control equipment, small signal stability-low frequency oscillations – methods of analysis for single and multi-machine systems, power system stabilizers.

**Gurunath Gurrala/ Vijay Vittal**

**References:**

Padiyar K R, Power System Dynamics, Stability and Control, Interline Publishing, 1996.

Machowski J, Bialek J W, and Bumby J R, Power System Dynamics and Stability, John Wiley and Sons, 1997.

Prabha Kundur, Power System Stability and Control, Tata McGraw Hill Edn, 2006.

Current Literature.

**E4 232**** (AUG/JAN) 3:0 **

**Intelligent Systems applications in Power Systems**

Review of Artificial Intelligent (AI) techniques. Overview of the current practice of power systems planning and operation and the problems of the basic mathematical tools used. Knowledge based systems/expert systems, basic requirements and techniques for building knowledge-based systems. Fuzzy systems and control, applications of fuzzy control. Artificial Neural Networks (ANNs). Application examples in power systems, decision and control in monitoring operation, fault locators, restoration.

**Faculty **

**References:**

Wang, Li-Xin, A Course in Fuzzy Systems and Control, Prentice-Hall Intl, Intl Edition, 1997.

Rao V B, and Rao H V, C++ Neural Networks and Fuzzy Logic, BPB Publcations,1996.

Yegnanarayana B, Artificial Neural Networks, Prentice Hall of India, New Delhi, 1999.

Current Literature.

**E4 233**** (JAN) 3:0 **

**Computer Control of Power Systems **

State transition diagram, security-oriented functions, data acquisition, SCADA/EMS/WAMS system, state estimation, load forecasting, security assessment. Automatic Generation Control (AGC). Voltage stability assessment, reactive power/voltage control, security oriented economic load despatch, preventive and restorative controls. Unit committment, Hydrothermal Scheduling, Optimal power flow.

** Gurunath** **Gurrala**

**References:**

Wood A J, and Wallenberg B F, Power Generation, Operation and Control, John Wiley and Sons, 1984.

Russel B D, and Council M E, Power System Control and Protection, Academic press, 1978.

Miller T J E, Reactive Power Control in Electrical Power System, John Wiley, USA.

Prabha Kundur, Power System Stability and Control, McGraw Hill Inc., 1983.

Kusic G L, Computer Aided Power System Analysis, Prentice Hall of India Pvt. Ltd, 1989.

**E4 234**** (AUG) 3:0**

**Advanced Power Systems Analysis**

Introduction to Power System Analysis; Admittance Model of Power System Elements; Kron’s Reduction; Power Flow Analysis: Gauss–Seidel, Newton Raphson, Fast Decoupled; Programming Consideration for Large Systems; Balanced and Unbalanced Radial Power Flow, AC-DC Power Flow, Harmonic Power Flow, Continuation Power Flow; Steady-State Voltage Stability; Power Flow Tracing; Loss Allocation Methods; Network Congestions; Available Transfer Capability; Contingency Analysis; Z-Bus Formulations; Fault Analysis using Z-Bus; Structure of Indian Power Systems; Indian Electricity Grid Code.

**Sarasij Das**

**References:**

Kusic G L, Computer Aided Power System Analysis, CRC Press, 2nd edition, 2009.

Arilaga J, and Watson N R, Computer Modelling of Electrical Power Systems, Wiley, 2005.

Grainger J J, and Stevenson W D, Power System Analysis, McGraw Hill Education (India) Pvt Ltd., 2003.

Wang X, Song Y and Irving M, Modern Power Systems Analysis, Springer, 2008

Arilaga J, and Watson N R, Power System Harmonics, Wiley, Second Edition, 2003.

**E4 237 (JAN) 2:1 **

**Selected Topics in Integrated Power Systems**

Development of large power grids. Hierarchy of integrated power systems. Modelling of various types of series and shunt Flexible AC Transmission Systems (FACTS), phase shifters, multiple schemes of HVDC systems. Unbalanced system analysis and load balancing. Digital techniques for computation of very fast electro-magnetic transients, analysis of switching and fault transients in EHV/UHV systems. Wide Area Monitoring Systems (WAMS), placement of Phasor Measurement Units (PMUs), Phasor and Frequency Estimation, Enhanced State Estimation, observability analysis, Voltage Stability assessment and fault detection using Phasor Measurements.

**Gurunath** **Gurrala**

**References:**

Current Literature

Phadke A G, Thorp J S, “Synchronized Phasor Measurements and Their Applications”, Springer**, **2008

Acha E, “FACTS: modelling and simulation in power networks”, Wiley, 2004

Hingorani N G and Gyugyi, L and El-Hawary M, “Understanding FACTS: concepts and technology of flexible AC transmission systems”, IEEE press New York, 2000

Kundur P and Balu, N J and Lauby M G, “Power system stability and control”, McGraw-Hill, 1994

Miller T J E, “Reactive power control in electric systems”, Wiley-Interscience, 1982

**E4 238 (JAN) 3:0
Advanced Power System Protection**

Overview of over-current, directional, distance and differential, out-of-step;

protection and fault studies; Service conditions and ratings of relays; Impact of CVT transients on protection; Current Transformer: accuracy classes, dynamic characteristics, impact and detection of

saturation, choice for an application; Circuit Breaker: need for breaker failure protection, breaker failure protection schemes, design considerations for breaker failure protection; Transmission line protection: issues and influencing factors, definitions of short, medium and long lines using SIR, protection schemes, fault location identification techniques; Transformer protection: issues, differential protection of auto-transformers, two-winding, three-winding transformers, impact of inrush and over-excitation, application of negative sequence differential, protection issues in ‘modern’ transformers; Generator protection: issues, generating station arrangements, groundings, protection schemes; Bus protection: issues, bus configurations, protection zones, protection schemes; Overview of HVDC protection systems; Protection scheme for distributed generators (DGs); Special Protection Schemes (SPS); Power system protection testing; Common Format for Transient Data Exchange (COMTRADE), Communication architecture for substation automation; Basics of synchrophasor based Wide Area Monitoring Systems (WAMS);

**Sarasij Das**

**References:**

Horowitz. S.H. and A.G. Phadke, Power system relaying, by John Wiley & Sons, 3 rd edition 2008.

Mason C.R, The Art and Science of Protective relaying, GE Digital Energy

Phadke A.G. and Thorp J.S. Synchronized Phasor Measurements and Their Applications, Springer, 2008

C37 series of IEEE standards on power system protection

IEC 61850 – Communication Networks and Systems in Substations

**E5 201 (AUG) 2:1 **

**Production, Measurement,and Application of High Voltage**

Generation of HV AC by cascade transformers, resonant circuit, Tesla coil; Generation of HV DC by Cockroft-Walton voltage multipliers; generation of high impulse voltages and currents, repetitive HV pulses. Methods of measurement of AC, DC and impulses voltages and currents, basic principles of electric breakdown in gaseous medium; basic aspects of EHV/UHV power transmission, and selected industrial applications of corona.

Laboratory: Breakdown experiments on simple air-gaps, Chubb-Fortescue method, Litchenberg figures, experiments on insulator strings including pollution flashover, measurement of high impulse voltages and currents, radio-interference-voltage measurement, capacitance and dissipation factor

**B S Rajanikanth/ B Subba Reddy**

**References:**

Kuffel E, Zaengl W S, Kuffel J, High Voltage Engineering- Fundamentals, Newnes, 2000

Gallagher T J and Pearmain P J, High Voltage – Measurement, Testing and Design, Wiley Interscience, 1983

Rizk F A M and Trinh G N, High Voltage Engineering, CRC Press, 2014

Recent publications

**E5 206**** (JAN) 3:0**

**HV Power Apparatus**

HV power transformers, equivalent circuit, surge phenomenon, standing and traveling wave theory, ladder network representation, short circuit forces, impulse testing, diagnostics and condition monitoring of transformers, natural frequencies and its measurement, modern techniques. Introduction to HV switching devices, electric arcs, short circuit currents, TRV, CB types, air, oil and SF6 CB, short circuit testing.

**Udaya Kumar, L Satish and B S Rajanikanth**

**References:**

Bernard Hochart, Power Transformer Handbook, Butterworth, 1987.

The J & P Transformer Book, 12th Edn, M J Heathcote, Newnes, 1998.

Transformers, Bharat Heavy Electricals Limited, Tata McGraw Hill, 2001.

Blume L F, and Boya Jian, Transformer Engineering, John Wiley and Sons, 1951.

Garzon R D, HV Circuit Breakers – Design and Applications, Marcel and Dekker NY, 1996.

Flurscheim C H, Power Circuit Breaker: Theory and Design, Peter Peregrinus Ltd., 1975.

Ryan H M, and Jones G R, SF6 Circuit Breaker, Peter Peregrinus Ltd., 1989.

**E5 209**** (JAN) 3:0 **

**Overvoltages in Power Systems**

Transient phenomena on transmission lines, methods of analysis and calculation, use of PSPICE, principle of EMTP lightning discharges, origin and characteristics of lightning and switching overvoltages, behaviour of apparatus and line insulation under overvoltages. Protection of Apparatus against Overvoltages, Surge arresters, VFTO in GIS, insulation co-ordination.

**L Satish**

**References:**

Ragaller K (ed.), Surges in High Voltage Networks, Plenum Press, 1980.

Transmission Line Reference Book, 345 kV and above EPRI, 1984.

**E5 212**** (JAN) 3:0**

**Computational Methods for Electrostatics**

Laplace’s and Poisson’s equations in insulation design, transient fields due to finite conductivity, method of images, images in two-layer soil, numerical methods, finite difference, finite element and charge simulation methods tutorials and demonstration on PC. Programming assignments.

**Udaya Kumar**

**References:**

Sadiku M N O, Numerical Techniques in Electromagnetics, Second Edn, CRC Press.

Weber E, Electromagnetic Fields, Dover, 1951.

Silvester P P and Ferrari R L, Finite Elements for Electrical Engineers, Cambridge University Press, 1996.

Selected journal papers.

**E5 213 (JAN) 3:0**

**EHV/UHV Power Transmission Engineering**

Electrical power transmission by HVAC and HVDC, Overhead transmission lines, Bundled conductors, Mechanical vibration of conductors, Surface voltage gradient on conductors, Corona & associated power loss, Radio-noise and Audible-noise & their measurement, Fields under transmission lines, Overhead line insulators, Insulator performance in polluted environment, EHV cable transmission – underground cables and GIL, High Voltage substations-AIS and GIS, Grounding of towers and substations, Over voltages in power systems, Temporary, lightning and Switching over voltages, Design of line insulation for power frequency voltage, lightning and switching over voltages, Insulation Co-ordination.

**Joy Thomas M**

**References:**

Begamudre R D, Extra High Voltage AC Transmission Engineering –Wiley Eastern Limited, 1990

Transmission line Reference Book 345 kV & above, Electrical Power Research Institute, (EPRI), 1982 USA.

Journal Publications

Current literature from journals and conference proceedings.

**E5 215 (AUG) 2:1**

**Pulsed Power Engineering**

Overview of Pulsed Power Engineering, Energy storage devices, Pulsed power generators, Pulse transformers, Pulse modulators, PFN schemes, Marx circuits, Magnetic pulse compression, FCG, Explosively driven FCGs, Homopolar generators. Power conditioning systems, Switching devices, Insulation requirements for pulsed power systems- gaseous, liquid, solid and magnetic insulation and their behaviour under pulsed voltages. Measurement techniques of pulsed power parameters. Applications of pulsed power systems, pulsed power systems for high power lasers, HPM, UWB, IRA, Railgun, ETC, NEMP and ESD simulators. Pulsed power systems for biological and pollution control applications.

Laboratory experiments on the above topics

**Joy Thomas M**

**References:**

Advances in Pulsed Power Technology, Vol. 1 & 2, Plenum Press, New York, 1987, 1990.

Current literature from journals and conference proceedings.

**E5 231 (JAN) 2:1**

**Outdoor Insulation**

Electric power transmission, AC & DC, overhead lines, air insulated substations, outdoor insulation functions, Types of line and station insulators up to 1200 kV, wall/equipment bushings, HVDC insulators, Materials used for outdoor insulation; porcelain, glass, synthetic/composite, wood, Types of stresses – electrical, mechanical, thermal, environmental, and extraneous and their implications, Aging mechanisms and failure modes, Deterioration of synthetic insulator due to UV rays and corona, Performance of Insulators in polluted/contaminated conditions and remedial measures, Field experience and standards employed for the evaluation, Maintenance and inspection of insulators in service, Computer simulation for estimation of electrical surface and bulk stress, lab experiments on insulator discs/strings for dry/wet (artificial rain) and polluted conditions, for both ac and dc high voltages.

**Subba Reddy B / Udaya Kumar**** **

**References:**

Transmission Line Reference book 345 kV and above, EPRI, Palo Alto, USA, 1982

Ravi S Gorur, Edward Cherney and Jeffrey Burnham, “Outdoor Insulators”, text book, Phoenix, Arizona, USA 1999.

Bradwell A, “Electrical Insulation”, text book, Peter Peregrinus Ltd, London, UK, 1983

Recent Journal/ Conference and CIGRE publications.

**E5 232 (MAY-JUNE) 2:1**

**Advances in Electric Power Transmission**

Overview of primary and renewable energy sources, installed capacity and projected growth, recent advances in UHV power transmission, introduction to 765/1100kV AC and ±500/800 kV DC transmission systems; present status and future growth. Design criteria for overhead transmission lines: general system design, methodology, reliability, wind/ice loading, security and safety requirements, components of HV transmission systems, types of conductors/accessories, HTLS, bundle configurations, Transmission towers- calculations of clearances for power frequency, switching and lightning surges, right of way (ROW), earth wire/OPGW, selection of insulators for light, medium and heavy polluted areas, Up-gradation of existing transmission lines, Design considerations of UHV Substations, Comparison of AIS, Hybrid-AIS and GIS, review on insulation coordination/overvoltages for UHV systems, High performance metal oxide surge arresters, earthing and safety measures for 765/1200kV HV substations. Introduction to Subs-station automation, SCADA and Smart-grids. Assignments involving computation of potential distribution, ground end electric and magnetic fields.

**Subba Reddy B **

**References:**

Gilbert M Masters, “Renewable and Efficient Electric Power Systems”, John Wiley & Sons, Inc., Publication, 2004

Rakosh Das Begamudre, “ Extra High Voltage AC Transmission Engineering”, New Age International(P) Ltd, publishers, New Delhi, 2000.

Kuffel E, Zaengl W S and Kuffel J, “High Voltage Engg. Fundamentals”, textbook published by Butter worth- Heinemann (Newness publishers), second edition, 2000.

Recent IEEE Journal/ Conference and CIGRE publications.

**E5 253 (AUG) 2:1 **

**Dielectrics and Electrical Insulation Engineering **

Introduction to dielectrics and electrical insulation systems used in high voltage power apparatus: gaseous, vacuum, liquid, solid and composite insulation, behaviour of electrical insulation under electric stress, polarization, relaxation, permittivity and dielectric loss, space charge in dielectrics. Breakdown mechanisms under dc and 50 Hz ac voltages in gaseous insulation- ionization, attachment, Townsend and streamer theories, Paschen’s law, partial breakdown, corona, time lags in breakdown, breakdown under impulse voltages, volt-time characteristics of breakdown, breakdown under high frequency voltages, breakdown in compressed gases, breakdown in vacuum, liquid, solid and composite insulation, polymers as dielectrics in various electrical equipments, polymer structure and morphology, classification of polymers, filled polymers for HV applications, introduction to nanodielectrics electrical degradation – treeing, partial discharge, tracking & erosion, stochastic models of breakdown, multistress ageing. Design of insulation systems used in various power apparatus (case studies) – transformers, bushings, circuit breakers, cables, capacitors, high voltage rotating machines, gas insulated substations and transmission lines, Computational dielectrics.

Laboratory experiments on the above topics.

**Joy Thomas M**

**References:**

Kuffel E, Zaengl W S and Kuffel J, High Voltage Engineering Fundamentals, Butterworth-Heineman press, Oxford, 2000

Papers from IEEE Trans on Dielectrics and Electrical Insulation

**E6 201 (AUG) 3:1 **

**Power Electronics **

Power switching devices: diode, BJT. MOSFET, IGBT; internal structure, modeling parameters, forward characteristics and switching characteristics of power devices; control and protection of power switching devices; electromagnetic elements and their design; choppers for dc to dc power conversion; single and multi-quadrant operation of choppers; chopper controlled dc drives; closed loop control of dc drives.

Hands-on exercises: soldering and desoldering practice, pulse generator circuit, inductor design and fabrication, thermal resistance of heat sink, switching characteristics of MOSFET, dc-dc buck converter, CCM and DCM operation, linear power supply, output voltage feedback for over-current protection, dc-dc boost converter, measurement of small-signal transfer functions, closed loop control of boost converter.

**G Narayanan and Dr. K N Bhat**

**References:**

Mohan N, Power Electronics; Principles, Analysis and Design , John Wiley, 1989.

Robert Ericson, Fundamentals of Power Electronics, Chapman & Hall, 1997

Umanand L, Power Electronics: Essentials and Applications, Wiley India, 2009

Baliga B J, Power Semiconductor Devices,. PWS Publishing Company, 1996

Sorab K.Ghandhi, Semiconductor Power Devices, John Wiley and Sons, 1976

**E6 211 (JAN) 3:0 **

**Electric Drives **

Closed loop control of DC drives. Static inverters-Voltage source inverters, inverter control; six step and pulse width modulated operation, AC motor operation from inverters. Voltage source drives, closed loop control of AC drives.

**G Narayanan**

**References:**

Ranganathan V T, Electric Drives, Course Notes, IISc, 2005-06

Fitzgerald A E , Kingsley C Jr. and Umans S D, Electric Machinery, Tata McGraw Hill, 2003.

Leonhard W., Control of Electrical Drives, 3rd Edition, Springer

Miller T J E, Brushless Permanent-Magnet and Reluctance Motor Drives, Oxford Science Publications, 1989

Krishnan R, Permanent-Magnet-Synchronous and Brushless DC motor Drives, CRC Press, Taylor & Francis Group, 2010

Current Literature.

**E6 221 (JAN) 3:1 **

**Switched Mode Power Conversion **

Switched mode power supplies (SMPS): Non-isolated dc-dc converter topologies: continuous conduction mode (CCM) and discontinuous conduction mode (DCM) analysis; non-idealities in the SMPS. Modeling and control of SMPS, duty cycle and current model control, canonical model of the converter under CCM and DCM. Extra element theorem, input filter design. Isolated dc-dc converters: flyback, forward, push-pull, half bridge and full bridge topologies. High frequency output stage in SMPS: voltage doubler and current doubler output rectifiers. Power semiconductor devices for SMPS: static and switching characteristics, power loss evaluation, turn-on and turn-off snubber design. Resonant SMPS: load resonant converters, quasy resonant converters and resonant transition converters.

Laboratory excercises on : Opamp circuits for current and voltage sensing in converters, differencial amplifiers for sensing in presence of common mode signals, higher order opamp filters, phase shifters, and pulse width modulators, comparator circuits, efficiency modeling and prediction in dc-dc converters, dymnamic response and compensator design for dc-dc converters.

** Vinod John**

**References:**

Robert Ericson, Fundamentals of Power Electronics, Chapman & Hall, 2004.

Ramanarayanan V., Switched Mode Power Conversion, 2007

Umanand L, Power Electronics: Essentials and Applications, Wiley India, 2009.

Jayant Baliga B, Power Semiconductor Devices, PWS 1996.

**E6 223 (JAN) 3:0 **

**PWM Converters and Applications **

AC/DC and DC/AC power conversion. Overview of applications of voltage source converters, pulse modulation techniques for 1-phase and 3-phase bridges; bus clamping PWM, space vector based PWM, advanced PWM techniques, practical devices in converter. Calculation of switching and conduction losses. Compensation for dead time and DC voltage regulation; dynamic model of a PWM converter, multilevel converters; constant V/F induction motor drives; estimation of current ripple and torque ripple in inverter fed drives. Line-side converters with power factor compensation.

**G Narayanan **

**References:**

Mohan, Undeland and Robbins; Power Electronics; Converters, Applications and Design, John Wiley and Sons, 1989.

Erickson R W, Fundamentals of Power Electronics, Chapman and Hall, 1997.

Vithyathil J, Power Electronics: Principles and Applications; McGraw Hill, 1995.

Current Literature.

**E6 224 (AUG) 3:0 **

**Topics in Power Electronics and Distributed Generation**

Introduction to distribution systems, fault calculations, fault contribution and protection coordination with Distributed Generation (DG), intentional and unintentional islanding, impact on distribution system voltage profile, relaying requirements for DG systems. Power converters for grid interconnection and micro-source-side power converter topologies, inverter modeling, component selection, design for efficiency and reliability, grounding and filtering requirements. Power converter design trade-off considering efficiency and reliability. Control requirements for DG, phase locking, current control, DC bus control, power quality, unbalance, harmonics, surges, voltage and frequency windows.

**Vinod John**

**References:**

IEEE papers and standards, datasheets, current literature.

Ramanarayanan V., Switched Mode Power Conversion, 2007.

Arthur R, Bergen, Vittal, Power Systems Analysis (2nd Ed) Prentice Hall, 1999.

Ned Mohan, Tore M, Undelnad, William P, Robbins (3 Edition), Power Electronics: Converters, Applications and Design; Wiley 2002.

**E6 225 (AUG) 3:0
Advanced Power Electronics**

Rectifiers: Line commutated, unidirectional power factor correction (PFC), bi-directional, rectifiers with isolation. AC to AC power converters: Matrix converters, Multistage conversion: voltage link and current link topology, High frequency link converters. DC to DC converters: Dual active bridge, Resonant converters. Inverters: Multilevel, Inverters for open ended load configurations, Resonant inverters. High frequency magnetics: Modeling and loss estimation, Inductor and transformer design. Thermal design. Emerging power semi-conductor devices.

**Kaushik Basu**

**Prerequisites:**

E6 201:Power Electronics or

E6 202: Design of Power Converters

**References:**

Ned Mohan, Tore M Undeland, William P Robbins, Power Electronics: Converters, Applications and Design, Wiley, Third Edition 2007.

Erickson R W and Maksimovic D, Fundamentals of Power Electronics, Springer, Second Edition 2005.

Umanand L, Power Electronics and Essentials, Wiley, 2009.

Ramanarayanan V, Switched Mode Power Conversion, Course Notes, IISc, 2004.

Current literature

**E6 311 (JAN) 3:0**

**Selected Topics in Control of AC Motor Drives **

Vector-control of induction and permanent magnet synchronous motor drives, self-commissioning, parameter adaptation, sensorless operation, direct self-control, advanced PWM schemes. slip ring induction motor drives, three level inverters.

A substantial portion of the course will consist of student seminars, simulation exercises and mini projects.

**G Narayanan / Vinod John**

**Pre-requisites: **E6 201 and E6 211

**References:**

Leonhard. W., Control of Electric Drives, Springer Verlog, 1985.

Vas P, Vector Control of AC Machines, Oxford University Press, 1990.

Current literature.

**E8 201 (AUG) 3:0**

**Electromagnetism**

Review of basic electrostatics, dielectrics and boundary conditions, systems of charges and conductors, Green’s reciprocation theorem, elastance and capacitance co-efficient, energy and forces, electric field due to steady currents, introduction to magnetostatics, vector potential, phenomena of induction, self and mutual inductance, time-varying fields, Maxwell’s equations.

**Udaya Kumar**

**References:**

Kraus J D, Electromagnetics, McGraw Hill International.

Jeans J H, The Mathematical Theory of Electricity and Magnetism, Cambridge University Press.

Smythe W R, Static and Dynamic Electricity, McGraw Hill Book Company, New York.

**E9 201 (AUG) 3:0**

**Digital Signal Processing**

**
**Discrete-time signals and systems, frequency response, group delay, z-transform, convolution, discrete Fourier transform (DFT), fast Fourier transform (FFT) algorithms, discrete Cosine transform (DCT), discrete Sine transform (DST), relationship between DFT, DCT, and DST; design of FIR and IIR filters, finite word length effects, Hilbert transform, Hilbert transform relations for causal signals, Karhunen-Loève transform. Introduction to linear prediction, bandpass sampling theorem, bandpass signal representation.

**Soma Biswas**

**References:**

Proakis and Manolakis, Digital Signal Processing, Prentice Hall India,.

Oppenheim A V , Schafer R W, Discrete-time Signal Processing, Prentice Hall, 1998.

Sanjit K Mitra, Digital Signal processing : A Computer Based Approach, Tata McGraw-Hill

**E9 205 (Jan) 3:1**

**Machine Learning for Signal Processing **

Introduction to real world signals – text, speech, image, video. Feature extraction and front-end signal processing – information rich representations, robustness to noise and artifacts,signal enhancement. Basics of pattern recognition, Generative modeling – Gaussian and mixture Gaussian models, hidden Markov models, factor analysis and latent variable models. Discriminative modeling – support vector machines, neural networks and back propagation.Introduction to deep learning – convolutional and recurrent networks, pre-training and practical considerations in deep learning, understanding deep networks. Clustering methods and decision trees. Decoding time sequences with finite state networks. Feature and model adaptation methods. Feature selection methods. Applications in computer vision and speech recognition.

**Sriram Ganapathy**

**Pre-requisites**

Random Process / Probablity and Statistics

Linear Algebra / Matrix Theory

**References:**

Bishop C M, Pattern Recognition and Machine Learning, 2nd Edition, Springer, 2011.

Goodfellow I, Bengio Y, Courville A, Deep Learning, MIT Press, 2016.

Gonzalez R C, Woods R E, Digital Image Processing, 3rd Edition, Prentice Hall, 2008.

Rabiner L and Juang H, Fundamentals of speech recognition”, Prentice Hall, 1993.

Li Deng, Deep Learning : Methods and Applications, Microsoft Technical Report.

Yu D, Deng L, Automatic Speech Recognition – Deep learning approach” Springer, 2014.

Szeliski R, Computer Vision: Algorithms and Applications, Springer, 2010

**E9 211 (JAN) 3:0
Adaptive Signal Processing**

Review of estimation theory. Wiener Solution. Kalman filter and its application to estimation, filtering and prediction. Iterative solution; of method of steepest descent and its convergence criteria, least mean square gradient algorithm (LMS), criteria for convergence and LMS versions: normalized LMS, leaky, sign, variable stepsize, transform domain LMS algorithm using DFT and DCT. Block LMS (BLMS) algorithm: frequency domain BLMS (FBLMS). Recursive least square (RLS) method, fast transversal, fast lattice RLS and affine projection algorithms. Applications of adaptive filtering: spectral estimation, system identification, noise cancelling acoustic and line echo cancellation, channel equalization.

**Faculty**

**References:**

Ali H Sayed, Adaptive Filters, John Wiley/IEEE, 2008

**E9 213 (JAN) 3:0 **

**Time-Frequency Analysis**

*Time-frequency distributions:* temporal and spectral representations of signals, instantaneous frequency, Gabor’s analytic signal, the Hilbert and fractional Hilbert transforms, Heisenberg’s uncertainty principle, densities and characteristic functions, global averages and local averages, the short-time Fourier transform (STFT), filterbank interpretation of STFT, the Wigner distribution and its derivatives, Cohen’s class of distributions (kernel method), bilinear time-frequency distributions, Wigner’s theorem, multicomponent signals, instantaneous bandwidth, positive distributions satisfying the marginals, Gabor transform

*Spaces and bases:* Hilbert space, Banach space, orthogonal bases, orthonormal bases, Riesz bases, biorthogonal bases, Frames, shift-invariant spaces, Shannon sampling theorem, B-splines.

*Wavelets:* Wavelet transform, real wavelets, analytic wavelets, dyadic wavelet transform, wavelet bases, multi resolution analysis, two-scale equation, conjugate mirror filters, vanishing moments, regularity, Lipschitz regularity, Fix-Strang conditions, compact support, Shannon, Meyer, Haar and Battle-Lemarié wavelets, Daubechies wavelets, relationship between wavelets and filterbanks, perfect reconstruction filterbanks.

**Chandra Sekhar Seelamantula**

**References:**

Cohen L, Time Frequency Analysis, Prentice Hall, 1995

Mallat S, A Wavelet Tour of Signal Processing – The Sparse Way, Elsevier, Third Edition, 2009.

**E9 241**** (AUG) 2:1**

**Digital Image Processing**

Continuous image characterization, sampling and quantization, 2D Fourier transform and properties, continuous/discrete image processing, rotation, interpolation, image filtering (shift-invariant filters, bilateral filters, nonlocal means), spatial operators, morphological operators, edge detection, texture, 2-D transforms (discrete Fourier transform, discrete cosine transform, Karhunen-Loève transform, wavelet transform), image pyramid, image denoising, segmentation, restoration.

**Chandra Sekhar Seelamantula**

**References:**

Lim J S, Two-dimensional signal and image processing, Prentice Hall, 1990.

Jain A K, Fundamentals of digital image processing, Prentice Hall, 1989.

Gonzalez R. C. and Woods R. E., Digital image processing, Prentice Hall, 2008.

Dudgeon D.E. and Merserau R. M., Multidimensional digital signal processing, Prentice Hall Signal Processing Series, 1983.

**E9 242**** (AUG) 3:1**

**Selected Topics in Image Processing**

Applications: Image

Denoising, Deblurring, Inpaiting,

Segmentation, Motion Estimation. Tools: Wavelets, Level Set Methods, Non-Linear Diffusion and PDE’s, Stochastic Models, Kernel Methods, Variational Methods.

**Kunal Narayan Chaudhury**

**References:**

Chan T. and Shen J., Image Processing and Analysis, SIAM, 2005.

Mallat S., A Wavelet Tour of Signal Processing(3rd edition), Academic Press, 2008.

**E9 243**** (AUG/JAN) 3:0**

**Computer Aided Tomographic Imaging**

Introduction to principles of tomography and applications, tomographic imaging. Radon transform and its properties, mathematical framework. Introduction to X-ray tomography, emission computer tomography, magnetic resonance imaging systems. Projection and Fourier slice theorem. Scanning geometries: translate and rotate, translate-rotate, rotate on a circular trajectory for 2-D imaging and helical or spiral scan trajectory for 3-D imaging. Transform domain algorithms: Fourier inversion algorithms, filtered back projection algorithms – reconstruction with non-diffracting sources, parallel projections and fan projections for 2-D and cone beam projections on circular and spiral trajectory for 3-D reconstruction. Computer implementation, iterative reconstruction techniques: algebraic reconstruction techniques, statistical modeling of generation, transmission and detection processes in X-Ray CT, artifacts and noise in CT images. Image reconstruction with incomplete and noisy data, applications of Radon transform in 2-D Signal and Image processing.

**Faculty**

**References:**

Kak A C, and Slaney M, Principles of Computerized Tomographic Imaging, IEEE Press, 1988.

Herman G T, Image Reconstruction from Projections, Implementation and Applications: Topics in Applied Physics, Vol 32, Springer Verlag, 1979.

Natterer F, The Mathematics of Computerized Tomography, SIAM Classics In Applied Mathematics, Vol. 32, 2001.

Natterer F, and Wubbeling F, Mathematical Tools in Image Reconstruction, SIAM, 2001.

**E9 244 (AUG) 2:1**

**Document Analysis and Recognition**

Document images – printed, handwritten, camera captured, text in scenic images. Layout analysis, Text localization and extraction from complex colour images. Binarization of colour images, Segmentation of images, graphic items, signatures. Script, orientation, language and font identification, optical character recognition, common features, Skew detection and correction, holistic word recognition. Alignment of curved text, offline and online handwriting recognition, context based postprocessing, verification. Annotated databases. Analysis of Degraded Documents. document image compression. Test and calibration charts. Applications – postal automation, forms processing,digital libraries, digital books for the blind, field extraction from legal documents, translation of text from boards, signs, etc., conversion of ancient manuscripts, bank cheque processing, document authentication.

**A G Ramakrishnan**

**Prerequisites:** E1 213 E1 216 / E9 241 or Consent of the instructor.

**References:**

Current Literature.

Guide to OCR for Indic Scripts: Document Recognition and Retrieval. Springer, Dec. 2009. Ed: Venu Govindaraju and Setlur Srirangaraj.

Cheriet M, Kharma N, Liu C L and Suen C Y, Character recognition systems: A guide for students and practitioners, John Wiley & Sons, 2007.

Nagy G, “Twenty Years of Document Image Analysis in PAMI,” IEEE Trans Pattern Analysis Machine Intelligence. vol. 22, pp. 38-62, Jan 2000.

**E9 245**** (AUG) 3:1**

**Selected Topics in Computer Vision**

This course will develop the use of multiview geometry in computer vision. A theoretical basis and estimation principles for multiview geometry, dense stereo estimation and three-dimensional shape registration will be developed.The use of these ideas for building real-world solutions will be emphasised. Topics Stereo estimation: current methods in depth estimation 3D registration: ICP and other approaches Multiple view geometry: projective geometry. Multilinear relationships in images, estimation.

**Venu Madhav Govindu**

**Pre-requisites:** E1 216 or permission of the instructor.

**References:**

Hartley R, and Zisserman A, Multiple View Geometry in Computer Vision, Second Edn, Cambridge University Press, 2004.

Faugeras O, and Luong Q T,The Geometry of Multiple Images, MIT Press 2001.

Current literature

**E9 246 (JAN) 3:1**

** Advanced Image Processing**

Image Features – Harris corner detector, Scale Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), edge detection, Hough Transform; Image Enhancement – Noise models, image denoising using linear filters, order statistics based filters and wavelet shrinkage methods, image sharpening, image super-resolution; Image Segmentation – Graph-based techniques, Active Contours, Active Shape Models, Active Appearance Models; Image Compression – Entropy coding, lossless JPEG, perceptually lossless coding, quantization, JPEG, JPEG2000; Image Quality – Natural scene statistics, quality assessment based on structural and statistical approaches, blind quality assessment; Statistical tools – Kalman Filter, Hidden Markov Models; Video Processing – Video standards, motion estimation, compression.

**Soma Biswas**

**Pre-requisites:** E9 241: Digital Image Processing

**References:**

David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach, Pearson Education, 2003

Richard Szeliski, Computer Vision: Algorithms and Applications, Springer, 2010.

Simon J.D. Prince, Computer Vision: Models, Learning, and Inference, Cambridge University Press, 2012.

**E9 261**** (JAN) 3:1**

**Speech Information Processing**

Human speech communication: physiology of speech production, phonetics and phonology. speech perception and illusions. Time- domain features. Time-varying signal analysis: short-time Fourier transform, spectrogram, quasi-stationary analysis: cepstrum, linear-prediction models. Line spectral pair, Mel frequency cepstral coefficients. sinusoidal models. Principles of Speech synthesis, prosody, quality evaluation, pitch and time scale modification. Speech as a sequence of vectors: orthogonal transforms, principal component analysis, vector quantization, Gaussian mixture model and their applications. Dynamic time warping and hidden Markov models. Speaker recognition.

**Prasanta Kumar Ghosh and Sriram Ganapathy**

**Pre-requisites:**

E9-201 or consent of the instructor.

**References:**

Handbook of Speech Processing, Benesty, Jacob; Sondhi, M. M.; Huang, Yiteng (Eds.), Springer, 2008.

Gold B, and Morgan N, Speech and Audio Signal Processing, John Wiley, 2000.

Douglas O’shoughnessy, Speech Communication, IEEE Press 2000.

Taylor P, Text-to-Speech Synthesis, Cambridge Univ. Press, 2009.

Rabiner L R, and Schafer R W, Theory and applications of digital speech processing, Pearson, 2011.

Quatieri T F, Discrete-time speech signal processing, Prentice-Hall, 2002.

Recent literature.

**E9 282 (JAN) 2:1**

**Neural Signal Processing**

Biophysics and computational techniques for the analysis of action potentials, Local Field Potential (LFP), Electrocortico/encephalogram (ECoG/EEG) and functional Magnetic Resonance Imaging (fMRI). Techniques include stochastic processes, self organized criticality, time-frequency analysis, sparse signal processing, coherence, information theoretic methods, ICA/PCA, forward and inverse modeling, directed tranfer functions, Granger causality, image processing methods and reverse correlation.

**Supratim Ray / Chandra Sekhar Seelamantula**

**References:**

Kandel, Schwartz and Jessell. Principles of Neural Science, 4th Edition.

Buzsaki G, Rhythms of the brain, Oxford University Press, USA 2006.

Poldrack R A, Mumford J A and Nichols T E, Handbook of functional MRI data analysis, Cambridge University Press, New York, 2009.

Mallat S, A Wavelet Tour of Signal Processing – The sparse way, Elsevier, Third Edition, 2009

Thomas M. Cover and Joy A. Thomas, Elements of Information Theory, 2nd Edition, Wiley series in Telecommunications and Signal Processing, 1991.

**E9 291 (AUG) 2:1**

**DSP System Design**

DSP Architecture: Single Core and Multicore; Pipelining and Parallel Processing; DSP algorithms: Convolution, Correlation, FIR/IIR filters, FFT, adaptive filters, sampling rate converters, DCT, Decimator, Expander and Filter Banks. DSP applications.

Weekly laboratory exercises using Beagle and xilinx FPGA boards.

**G N Rathna**

**References:**

Rulph Chassaing, Digital signal processing and applications with C6713 and C6416 DSK, Wiley, 2005

Keshab K Parhi, VLSI Digital Signal Processing Systems:Design and Implementation, student Edition, Wiley, 1999.

Nasser Kehtarnavaz, Digital Signal Processing System Design: LabVIEW-Based Hybrid Programming, Academic Press, 2008

Current Literature.

**E9 292 (JAN) 2:1
Real-Time Signal Processing with DSP**

Implementation of discrete-time systems, DSP device architecture and programming (TMS320C6x), FIR/IIR digital filter design, Multirate DSP, Power spectrum estimation, Linear prediction and adaptive filtering, Real-time system development, DSP Programming, Code Composer Studio and DSP BIOS, Spawning and controlling tasks and data I/O, Real-time scheduling analysis, load analysis, Queues, semaphores and mailboxes, Real-time data exchange using Lab view, Mini Project.

**G N Rathna**

** Pre-requisite**: Knowledge of Digital Signal Processing

**References:**

Nasser kehtarnawaz, Real-Time Digital Signal Processing based on TMS320C6000

TMS320C6x Data Sheets from TI

**E9 295 (AUG) 3:0
Graph Signal Processing**

Introduction- Graph signal processing, Review of linear algebra and signal processing,Various graph structures, Weighted graphs,Graph signals,Graph matrices,Graph Laplacian and its properties,Graph spectra,Graph Fourier transforms ,Graph signal representation-vertex and spectral domain,Circulant graphs ,Spatial and spectral features of Circulant graphs,Generalised operators for signals on graph convolution,translation ,modulation ,dilation,graph coarsening,Graph Filtering-frequency domain and vertex domain,Multiscale Analysis of Graph Signals,Wavelets on Graphs ,Graph approximation,Directed Mgraphs .Applications: Multiview Image coding, Image Filtering, Graph Semi supervised learning.

**Faculty **

**References:**

Spielman D D, Spectral graph theory. Lecture Notes, Yale University, 2009.

Cvetkovic M, Rowlinson P, and Simic S, An introduction to the theory of graph spectra. Cambridge University Press , 2010.

Spielman D, Spectral graph theory. Lecture Notes, Yale University, 2009.

Ekambaram V N, Graph Structured Data viewed Through a Fourier Lens, Ph D dissertation,U,C.Berkeley,2013

Grady L J, Polimeni J R, Discrete Calculus :Applied Analysis on Graphs for computational Science,Springer,2013

**E9 306 (JAN) 1:2
Machine Learning in Neuroscience**

Signal, image processing and machine learning applications to recent trends in neuroscience research, such as auditory neuroscience; brain computer interface; biofeedback; sleep research; neural mechanisms and rehabilitation in coma; analysis of infradian, circadian and ultradian rhythms; interrelationships between biological signals; connectome and functional connectivity analysis.

**A G Ramakrishnan**

**Prerequisites:**

One or more of the following courses and consent of the instructor:

NS201: Fundamentals of Systems and Cognitive Neuroscience

E9 282: Neural Signal Processing

E9 201: Digital Signal Processing

E9 241: Digital Image Processing

E1 213: Pattern Recognition and Neural Networks

E0 270: Machine Learning

E9 205: Machine Learning for Signal Processing

**References:**

1. Recent literature.

2. Rao, Rajesh PN. Brain-computer interfacing: an introduction. Cambridge University Press, 2013.

3. Berry, Richard B., et al. “The AASM manual for the scoring of sleep and associated events.” Rules, Terminology and Technical Specifications, Darien, Illinois, American Academy of Sleep Medicine, 2012.

4. Broadbent, Donald Eric. Perception and communication. Elsevier, 2013.

5. Gazzaniga, M.S. The cognitive neurosciences. MIT press, 2009.

6. Dunlap, J.C., Loros, J.J. and DeCoursey, P.J. Chronobiology: biological timekeeping. Sinauer Associates, 2004.

7. Sebastian Seung. Connectome: How the brain’s wiring makes us who we are. HMH, 2013.

**E9:xxx (3:1)(Aug)
Advanced Deep Learning**

**Overview :** With the deep learning breaching into all fields of science and engineering, the advancement in deep learning field is also going at a faster pace. The algorithms and methods have evolved with influx of techniques from optimization, mathematics, visualization and data engineering. This course is designed to provide a comprehensive coverage of cutting edge topics in deep learning models for text, speech, image and other domains.

**Syllabus :** Visual and Time Series Modeling :

Semantic Models, Recurrent neural models and LSTM models, Encoder-decoder models, Attention models.

Representation Learning, Causality And Explainability :

t-SNE visualization, Hierarchical Representation, semantic embeddings, gradient and perturbation analysis, Topics in Explainable learning, Structural causal models.

Unsupervised Learning :

Restricted Boltzmann Machines, Variational Autoencoders, Generative Adversarial Networks. New Architectures : Capsule networks, End-to-end models, Transformer Networks.

Applications in NLP, Speech, Image/Video domains in all modules.

**Course structure : **

3 monthly research projects from three different domains (speech/audio, text, images/videos, biomedical, financial, chemical/physical sciences/mathematical sciences) : 60%,

1 midterm : 10%,

1 final : 30%

**Sriram Ganapathy**

**Pre-requisties : **

Linear Algebra.

Random Process.

Basic machine learning/pattern recognition course.

Good background in python programming.

**References : **

A significant portion of the material would come from research papers/tutorials in the domain.

Lecture notes in pdf format.

Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press 2016.