PhD Admission

Department of Electronics and Electrical Engineering (EEE)

Indian Institute of Technology (IIT) Guwahati

DATES for PHD ADMISSION

WEDNESDAY, 28th May 2014 to FRIDAY, 30th May 2014

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The different AREAS of research of the Dept. of EEE, IIT Guwahati as given in the announcement are broadly grouped into the following FIVE broad categories:

1. Signal Processing: Biomedical signal and image processing; Speech and handwriting processing; Image / Video processing and computer vision; Pattern recognition and machine learning; Multimedia security;

2. VLSI: VLSI; MEMS; Solid State Devices; and High Performance Computing.

3. Communication Engineering: Wireless Communications; Information Theory and Coding; Communication Networks; Optical Communication and Networks; Photonics; Electromagnetics; RF and Microwave, Optoelectronics.

4. Control and Instrumentation: Control Systems; Instrumentation;

5. Power: Power Systems; Power Electronics; Electrical Machines; Control of Electrical Drives; Smart Grids and Electric Vehicles; High Voltage Engineering; Condition Monitoring of Power Apparatuses.

The Written Test / Interview / Counselling for selecting candidates for possible admission to 2014-15 academic session is scheduled from WEDNESDAY, 28th May 2014 to FRIDAY, 30th May 2014.

The list of shortlisted candidates will be announced shortly. The prospective candidates are advised to plan the trip to reach IIT Guwahati latest by TUESDAY, 27th May 2014 and leave IIT Guwahati after FRIDAY, 30th May 2014.

The accommodation for shortlisted MALE Candidates will be arranged in the institute BOYS hostel from 27th Afternoon to 31st Forenoon May 2014.

The accommodation for shortlisted FEMALE Candidates will be arranged in the institute GIRLS hostel from 27th Afternoon to 31st Forenoon May 2014.

The details of accommodation will be announced later.

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PATTERN of PhD Admission Written Test Question Paper

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1. The question paper will have the following three parts:

1. General aptitude (GA): Weightage is 30%

2. Mathematics (MA): Weightage is 30%

3. Subjective Specific: Weightage is 40%

2. All the questions are of multiple choice type and / or fill in the blanks type.

3. The maximum marks for the paper (including all three sections) is 120 and is divided in the following way:

1. GA: 36 marks, 9 questions, each of 4 marks.

2. MA: 36 marks, 9 questions, each of 4 marks.

3. Subject: 48 marks, 12 questions, each of 4 marks.

4. GA and MA are compulsory sections for all the candidates.

5. One out of FIVE broad categories mentioned above ONLY to be answered for subject specific section.

6. Detailed syllabus and model questions will be anounced shortly.

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Syllabus for General Aptitude Part of PhD Written Exam----

1. Quantitative aptitude2. Logical reasoning3. Reading comprehension

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Syllabus for Engineering Mathematics Part of PhD Written Exam----

Linear Algebra: algebra of matrices, system of linear equations, eigenvalues and eigenvectors, diagonalization of matrices.

Calculus: functions of single variable, functions of two variables, partial derivatives, maxima and minima, sequence and series. Complex Analysis: analytic functions, Cauchy-Riemann equations, Cauchy’s integral formula, Taylor’s and Laurent’ series, Residue theorem.

Vector Calculus: gradient, divergence and curl, Stokes, Gauss and Green’s theorems.

Differential Equations: first order equations, second order linear differential equations, partial differential equations, separation of variables method.

Probability and Statistics: probability, conditional probability, Bayes theorem, random variables, discrete and continuous distributions.

Numerical Methods: L-U decomposition, Gauss-Jordan and Gauss-Seidel Methods, Newton-Raphson method, Trapezoidal rule, Simpson’s rule.

Reference: Erwin Kreyszig, “Advanced Engineering Mathematics”, Wiley, 10th Ed., 2010.--END--



Syllabus for Signal Processing Part of PhD Written Exam----

Classification of Signals and Systems: Signals, systems and signal processing; Classification of signals; Properties of systems; Discrete time signals and systems; analysis of LTI systems; Impulse response; Convolution.

Transforms: Definitions and properties of (a) continuous and discrete time Fourier series and transform; (b) Laplace transform and its inverse; (c) z-transform and its inverse; Analysis of discrete time systems in the z-domain. Sampling and Reconstruction of Signals: Ideal sampling and reconstruction of continuous time signals; Discrete time processing of continuous time signals; analog to digital and digital to analog converters; Sampling and reconstruction of continuous time bandpass signals; Sampling of discrete time signals; Oversampling A/D and D/A converters.

Discrete Fourier Transform (DFT): Frequency domain sampling; Properties of DFT; Linear filtering methods based on DFT, Frequency analysis of signals using DFT; Efficient computation of DFT – Fast Fourier transform, Decimation in time (DIT) and Decimation in Frequency (DIF); Application of FFT algorithms, Linear filtering approach to computation of DFT, Quantization effects in the computation of DFT.

Design of Digital Filters: Digital filter realization through pole-zero placements: All pass filters, Notch filters, Bandpass, Lowpass and Highpass filters; Paley-Wiener criterion – conditions for realizability; FIR filters: Linear phase filter design by Windowing, Zero placements of Linear phase filters; IIR filters from analog filters: S-to-Z transformations – Impulse invariance, Bilinear transformation; Analog templates: Butterworth and Chebyshev filters.

Implementation of Discrete Time Systems: Structure for the relaization of discrete time systems; Direct, cascade and paralle relations for FIR and IIR Systems.

Reference: Proakis and Manolakis, “Digital Signal Processing: Principles, Algorithms and Applications”, Pearson LPE, Fourth Edition, 2007.

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Syllabus for VLSI Part of PhD Written Exam----

Electronic Devices:

Energy bands in silicon, intrinsic and extrinsic silicon. Carrier transport in silicon: diffusion current, drift current, mobility, and resistivity. Generation and recombination of carriers. p‐n junction diode, Zener diode, tunnel diode, BJT, JFET, MOS capacitor, MOSFET, LED, p‐I‐n and avalanche photo diode, Basics of LASERs. Device technology: integrated circuits fabrication process, oxidation, diffusion, ion implantation, photolithography, n‐tub, p‐tub and twin‐tub CMOS process.

Analog Circuits:

Small Signal Equivalent circuits of diodes, BJTs, MOSFETs and analog CMOS. Simple diode circuits, clipping, clamping, rectifier. Biasing and bias stability of transistor and FET amplifiers. Amplifiers: single‐and multi‐stage, differential and operational, feedback, and power. Frequency response of amplifiers. Simple op‐amp circuits. Filters. Sinusoidal oscillators; criterion for oscillation; single‐transistor and op‐amp configurations. Function generators and wave‐shaping circuits, 555 Timers. Power supplies.

Digital circuits:

Boolean algebra, minimization of Boolean functions; logic gates; digital IC families (DTL, TTL, ECL, MOS, CMOS). Combinatorial circuits: arithmetic circuits, code converters, multiplexers, decoders, PROMs and PLAs. Sequential circuits: latches and flip‐flops, counters and shift‐registers. Sample and hold circuits, ADCs, DACs. Semiconductor memories. Microprocessor(8085): architecture, programming, memory and I/O interfacing.

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Syllabus for Control and Instrumentation Part of PhD Written Exam

Control Systems Basic control system components: block diagrammatic description, reduction of block diagrams. Open loop and closed loop (feedback) systems and stability analysis of these systems. Signal flow graphs and their use in determining transfer functions of systems. Transient and steady state analysis of LTI control systems and frequency response. Tools and techniques for LTI control system analysis and design: Routh Hurwitz criterion, root loci, principle of argument and Nyquist stability criterion, Nyquist and Bode plots. Control system compensators: elements of lead and lag compensation, elements of Proportional Integral Derivative (PID) control.

State variable representation and solution of state equation of LTI control systems. Equivalence between frequency and time-domain representations. Canonical state-variable models and similarity transformation. Controllability and observability. Pole placement by state feedback.

Books: K. Ogata, Modern Control Engineering, Prentice Hall India, 2006. M. Gopal, Control Systems, 3/e, Tata McGraw-Hill, 2008. B. C. Kuo, Automatic Control Systems, 8/e, Wiley, 2002.

Instrumentation

Static and dynamic characteristics of measurement systems, first order and second order systems, error analysis; electromechanical indicating instruments: ac/dc current and voltage meters, loading effect, extension of instrument ranges, measurement of power and energy; instrument transformers. AC & DC bridges; resistive, capacitive, inductive transducers, and their signal conditioning; digital voltmeter and multimeter, oscilloscope, frequency counter; analog-to-digital and digital-to-analog converters.

Books:D. A. Bell, Electronic Instrumentation and Measurements, 3rd ed. Oxford University Press, 2013.

E. O. Deobelin, Measurement Systems – Application and Design, 5th ed., Tata McGraw-Hill, 2008.

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Syllabus for Communication Engineering Part of PhD Written Exam----

Random signal analysis: probability, random variables, probability density function, autocorrelation, power spectral density

Analog Communication sytems: amplitude and angle modulation and demodulation systems, spectral analysis of these operations, superheterodyne receivers; signal-to-noise ratio (SNR) calculations for amplitude modulation (AM) and frequency modulation (FM) for low noise conditions.

Pulse modulation schemes: Sampling theorem and reconstruction, quantisation PAM, PWM, PCM PPM.

Digital modulation schems: amplitude, phase and frequency shift keying schemes (ASK, PSK, FSK), matched filter receivers, bandwidth consideration and probability of error calculations for these schemes.

Information theory and coding: Measure of information, entropy, source coding theorem, channel coding theorem.

Wireless communication: TDMA, FDMA and CDMA and GSM.

Microwave Engineering: Transmission lines, Waveguides, Microwave Networks, Microwave Resonators

Antennas and Propagation: Maxwell’s equations, Plane Waves, Plane Waves Reflection, Antennas.

Reference: 1. S Haykin, “Communication systems” John Wiley, 4th edition, 20082. JG Proakis and M Salehi, “Digital communications” Tata McGraw-Hill, 5th

edition, 2007 3. DM Pozar, Microwave Engineering, John Wiley & Sons, 2005

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Syllabus for Power Systems Part of PhD Written Exam----

1. Electric Circuits and Networks

Nodal and mesh analysis. Network theorems: Thevenin's, Norton's and Superposition and Maximum Power Transfer theorems, Star‐Delta transformation. Steady state sinusoidal analysis using phasors. Linear constant coefficient differential equations; time domain analysis of simple RLC circuits, Solution of network equations using Laplace transform: frequency domain analysis of RLC circuits. 2‐port network parameters: driving point and transfer functions. State equations for networks, three phase circuits.

2. Electrical Machines

Single phase transformer ‐equivalent circuit, phasor diagram, tests, regulation and efficiency; three phase transformers connections, parallel operation; auto‐transformer; energy conversion principles; DC machines ‐types, windings, generator characteristics, armature reaction and commutation, starting and speed control of motors; three phase induction motors principles, types, performance characteristics, starting and speed control; single phase induction motors; synchronous machines ‐performance, regulation and parallel operation of generators, motor starting, characteristics and applications; servo and stepper motors.

3. Power SystemsBasic power generation concepts; transmission line models and performance; cable performance, insulation; corona and radio interference; distribution systems; perunit quantities; bus impedance and admittance matrices; load flow; voltage control; power factor correction; economic operation; symmetrical components; fault analysis; principles of overcurrent, differential and distance protection; solid state relays and digital protection; circuit breakers; system stability concepts, swing curves and equal area criterion; HVDC transmission and FACTS concepts.

4. Power Electronics and DrivesSemiconductor power diodes, transistors, thyristors, triacs, GTOs, MOSFETs and IGBTs ‐static characteristics and principles of operation; triggering circuits; phase control rectifiers; bridge converters ‐fully controlled and half controlled; principles of choppers and inverters; basis concepts of adjustable speed dc and ac drives.

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PhD Admission