Academics  Course Programs 

E0 246 (JAN) 3:1 Hard and soft realtime 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, offline and online 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, realtime communication, operating systems. Rathna G N References: E0 247 (AUG) 3:1 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 WiFi 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 Prerequisite: Consent of InstructorReferences: 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 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, subgradients, 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 interiorpoint methods. Modern algorithms: accelerated gradient methods, proximal methods, FISTA, forwardbackward splitting, augmented Lagrangian, ADMM, etc. Discussion of some of the popular applications of convex optimization. Kunal Narayan Chaudhury References: E0 332 (AUG) 3:0 Spectral theory of selfadjoint mappings, variational characterization of eigenvalues, perturbation theory for eigenvalues and eigenspaces of normal matrices, majorization and doubly stochastic matrices, numerical range of matrices, PerronFrobenius theory, calculus of matrixvalued and vectorvalued 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 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 Prerequisite: Knowledge of Probability theory References: E1 216 (JAN) 3:1 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: E1 222 (AUG) 3:0 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: E1 241 (AUG) 3:0 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, poleplacement, Lyapunov matrix equations. Asymptotic observers, compensator design, and separation principle. Preliminary quadratic regulator theory. Pavan Kumar Tallapragada References: E1 242 (JAN) 3:0 Equilibria and qualitative behavior. Existence and uniqueness of solutions. Lyapunov stability, invariance principle, converse theorems, ultimate boundedness, inputtostate stability. Inputoutput stability, smallgain theorem. Passivity. Feedback linearization, gain scheduling, sliding mode control, backstepping. Prerequisites: 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 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; KuhnTucker 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: E2 212 (AUG) 3:0 Vectors, vector norms, vector algebra, subspaces, basis vectors, GrammSchmidt 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. Leastsquares 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 E3 201 (AUG) 3:0
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: E3 252 (JAN) 3:1 Digital Signal Controller (A microcontroller 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. CommunicationChip 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: Antialiasing 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.Codesign: How to optimally implement an embedded task using a programmable processor (DSC) and a reconfigurable hardware (FPGA). Embedded design of a typical Power Conversion System including: process control, protection, monitoring, realtime feedback control etc. Kaushik Basu Prerequisite: Under graduate level analog electronics, digital electronics and classical feedback control theory. References: E3 269 (AUG) 0:1 Linear and nonlinear applications of operational amplifiers, inverting and noninverting amplifiers, differential amplifiers, phaseshifting 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: E4 221 (AUG) 2:1 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. Miniprojects. U J Shenoy References: E4 231 (AUG) 3:0 Introduction to system dynamics, concepts of stability, modeling of generator, transmission networks, loads and control equipment, small signal stabilitylow frequency oscillations – methods of analysis for single and multimachine systems, power system stabilizers. Gurunath Gurrala/ Vijay Vittal References: E4 232 (AUG/JAN) 3:0 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 knowledgebased 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: E4 233 (JAN) 3:0 State transition diagram, securityoriented 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: E4 234 (AUG) 3:0 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, ACDC Power Flow, Harmonic Power Flow, Continuation Power Flow; SteadyState Voltage Stability; Power Flow Tracing; Loss Allocation Methods; Network Congestions; Available Transfer Capability; Contingency Analysis; ZBus Formulations; Fault Analysis using ZBus; 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. E4 237 (JAN) 2:1 Gurunath Gurrala References: E4 238 (JAN) 3:0 Overview of overcurrent, directional, distance and differential, outofstep;
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 autotransformers, twowinding, threewinding transformers, impact of inrush and overexcitation, 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); References: E5 201 (AUG) 2:1 Generation of HV AC by cascade transformers, resonant circuit, Tesla coil; Generation of HV DC by CockroftWalton 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.
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 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: E5 209 (JAN) 3:0 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 coordination. L Satish References: E5 212 (JAN) 3:0 Laplace’s and Poisson’s equations in insulation design, transient fields due to finite conductivity, method of images, images in twolayer soil, numerical methods, finite difference, finite element and charge simulation methods tutorials and demonstration on PC. Programming assignments. Udaya Kumar References: E5 213 (JAN) 3:0 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, Radionoise and Audiblenoise & their measurement, Fields under transmission lines, Overhead line insulators, Insulator performance in polluted environment, EHV cable transmission  underground cables and GIL, High Voltage substationsAIS 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 Coordination. Joy Thomas M References: E5 215 (AUG) 2:1 Laboratory experiments on the above topics Joy Thomas M References: E5 231 (JAN) 2:1 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: E5 232 (MAYJUNE) 2:1 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, Upgradation of existing transmission lines, Design considerations of UHV Substations, Comparison of AIS, HybridAIS 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 Subsstation automation, SCADA and Smartgrids. Assignments involving computation of potential distribution, ground end electric and magnetic fields. Subba Reddy B References: E5 253 (AUG) 2:1 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, volttime 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: E6 201 (AUG) 3:1 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 multiquadrant operation of choppers; chopper controlled dc drives; closed loop control of dc drives. Handson exercises: soldering and desoldering practice, pulse generator circuit, inductor design and fabrication, thermal resistance of heat sink, switching characteristics of MOSFET, dcdc buck converter, CCM and DCM operation, linear power supply, output voltage feedback for overcurrent protection, dcdc boost converter, measurement of smallsignal transfer functions, closed loop control of boost converter. G Narayanan and Dr. K N Bhat References: E6 211 (JAN) 3:0 Closed loop control of DC drives. Static invertersVoltage 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: E6 221 (JAN) 3:1 Switched mode power supplies (SMPS): Nonisolated dcdc converter topologies: continuous conduction mode (CCM) and discontinuous conduction mode (DCM) analysis; nonidealities 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 dcdc converters: flyback, forward, pushpull, 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, turnon and turnoff 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 dcdc converters, dymnamic response and compensator design for dcdc converters. Vinod John References: E6 223 (JAN) 3:0 AC/DC and DC/AC power conversion. Overview of applications of voltage source converters, pulse modulation techniques for 1phase and 3phase 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. Lineside converters with power factor compensation. G Narayanan References: E6 224 (AUG) 3:0 Vinod John References: E6 225 (AUG) 3:0 Rectifiers: Line commutated, unidirectional power factor correction (PFC), bidirectional, 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 semiconductor devices. Kaushik Basu Prerequisites: References: E6 311 (JAN) 3:0 Vectorcontrol of induction and permanent magnet synchronous motor drives, selfcommissioning, parameter adaptation, sensorless operation, direct selfcontrol, advanced PWM schemes. slip ring induction motor drives, three level inverters. G Narayanan / Vinod John Prerequisites: E6 201 and E6 211 E8 201 (AUG) 3:0 Review of basic electrostatics, dielectrics and boundary conditions, systems of charges and conductors, Green’s reciprocation theorem, elastance and capacitance coefficient, energy and forces, electric field due to steady currents, introduction to magnetostatics, vector potential, phenomena of induction, self and mutual inductance, timevarying fields, Maxwell’s equations. Udaya Kumar References: E9 201 (AUG) 3:0 E9 205 (Aug) 3:1 Introduction to real world signals  text, speech, image, video. Feature extraction and frontend 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, pretraining 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 Prerequisites References: E9 211 (JAN) 3:0 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: E9 213 (JAN) 3:0 Timefrequency 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 shorttime Fourier transform (STFT), filterbank interpretation of STFT, the Wigner distribution and its derivatives, Cohen’s class of distributions (kernel method), bilinear timefrequency 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, shiftinvariant spaces, Shannon sampling theorem, Bsplines. Wavelets: Wavelet transform, real wavelets, analytic wavelets, dyadic wavelet transform, wavelet bases, multi resolution analysis, twoscale equation, conjugate mirror filters, vanishing moments, regularity, Lipschitz regularity, FixStrang conditions, compact support, Shannon, Meyer, Haar and BattleLemarié wavelets, Daubechies wavelets, relationship between wavelets and filterbanks, perfect reconstruction filterbanks. Chandra Sekhar Seelamantula References: E9 241 (AUG) 2:1 Continuous image characterization, sampling and quantization, 2D Fourier transform and properties, continuous/discrete image processing, rotation, interpolation, image filtering (shiftinvariant filters, bilateral filters, nonlocal means), spatial operators, morphological operators, edge detection, texture, 2D transforms (discrete Fourier transform, discrete cosine transform, KarhunenLoève transform, wavelet transform), image pyramid, image denoising, segmentation, restoration. Chandra Sekhar Seelamantula References:
E9 242 (AUG) 3:1 Applications: Image Denoising, Deblurring, Inpaiting, Segmentation, Motion Estimation. Tools: Wavelets, Level Set Methods, NonLinear 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 Introduction to principles of tomography and applications, tomographic imaging. Radon transform and its properties, mathematical framework. Introduction to Xray tomography, emission computer tomography, magnetic resonance imaging systems. Projection and Fourier slice theorem. Scanning geometries: translate and rotate, translaterotate, rotate on a circular trajectory for 2D imaging and helical or spiral scan trajectory for 3D imaging. Transform domain algorithms: Fourier inversion algorithms, filtered back projection algorithms – reconstruction with nondiffracting sources, parallel projections and fan projections for 2D and cone beam projections on circular and spiral trajectory for 3D reconstruction. Computer implementation, iterative reconstruction techniques: algebraic reconstruction techniques, statistical modeling of generation, transmission and detection processes in XRay CT, artifacts and noise in CT images. Image reconstruction with incomplete and noisy data, applications of Radon transform in 2D Signal and Image processing. Faculty References: E9 244 (AUG) 2:1 Prerequisites: E1 213 E1 216 / E9 241 or Consent of the instructor. E9 245 (AUG) 3:1 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 threedimensional shape registration will be developed.The use of these ideas for building realworld 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 Prerequisites: E1 216 or permission of the instructor. E9 246 (JAN) 3:1 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 superresolution; Image Segmentation  Graphbased 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 E9 261 (JAN) 3:1 Human speech communication: physiology of speech production, phonetics and phonology. speech perception and illusions. Time domain features. Timevarying signal analysis: shorttime Fourier transform, spectrogram, quasistationary analysis: cepstrum, linearprediction 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 Prerequisites: References: E9 282 (JAN) 2:1 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, timefrequency 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 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. G N Rathna References: E9 292 (JAN) 2:1 G N Rathna Prerequisite: Knowledge of Digital Signal Processing References: E9 295 (AUG) 3:0 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 representationvertex 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 Filteringfrequency 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:


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