G. PULLA REDDY ENGINEERING COLLEGE (Autonomous): KURNOOL

Accredited by NBA of AICTE and NAAC of UGC

An ISO 9001:2008 Certified Institution

Affiliated to JNTUA,Anantapur

M.Tech Syllabus- Scheme 2013

(COMMUNICATIONS AND SIGNAL PROCESSING)

Two year M.Tech Course(Scheme – 2013)

Scheme of instruction and Examination

(Effective from 2013-14)

M.Tech I Semester COMMUNICATIONS AND SIGNAL PROCESSING

Scheme-2013

S.
No. / Course
No. / Course Title / Credits / Scheme of Instruction periods/week / Scheme of Examination
L / T / P / End Exam Marks / Internal Assessment Marks / Total Marks
1. / EC801 / Detection & Estimation of Signals(DES) / 3 / 3 / - / - / 70 / 30 / 100
2. / EC802 / Advanced Digital Signal
Processing(ADSP) / 3 / 3 / - / - / 70 / 30 / 100
3. / EC803 / Advanced Communications(ACM) / 3 / 3 / - / - / 70 / 30 / 100
4. / EC804 / Microwave Communications(MWC) / 3 / 3 / - / - / 70 / 30 / 100
5. / Elective –I / 3 / 3 / - / - / 70 / 30 / 100
6. / EC805 / DSP Lab(DSPL) / 2 / - / 3 / 50 / 50 / 100
7. / EC806 / Seminar / 1 / - / - / - / - / 100 / 100
tOTAL / 18 / 15 / - / 3 / 400 / 300 / 700

1

EC801: DETECTION & ESTIMATION OF SIGNALS (DES)

(For M.Tech(CSP) – I Semester)

L / T/D / P / C
3 / 0 / 0 / 3

Scheme : 2013

Internal Assessment : 30

End Exam : 70

End Exam Duration : 3 Hrs

Course Objectives:

  1. To provide knowledge about various estimation techniques like parametric and non parametric estimation techniques.
  2. To provide knowledge for finding good estimators.
  3. To provide enough knowledge for detection of signal in noise and estimate the signals in the presence of noise.

Course Outcomes:-

  1. The students will be able to apply various methods of signal estimation knowing the significance of each method.
  2. The students will be able to decide which is a good estimator for the given specifications.
  3. By applying suitable criterion the students will be able to detect the signals with minimum errors

in the presence of noise.

Introduction: Properties of estimators, Finding good estimators, Estimation of spectrum from finite duration observations.

Classical (Non- parametric) Spectral Estimation: Periodgram, Averaged periodogram, windowing of periodogram via FFT, Blackman-Tukey Spectral estimator, performance characteristics of non-parametric power spectrum estimators. Minimum variance spectral estimator, Neyman Peonson Criterion for detection, Bay’s estimator.

Modern (Parametric) Spectral Estimation: Time series models, relationship between auto-correlation and the model parameters, AR Parameters by Yule-walker, Burg and Sequential estimation methods, selection of AR model order, MA and ARMA models for power spectrum estimator, Maximum entropy spectral estimator, Minimum variance spectral estimator.

Detection of Signals in Noise: Minimum probability of Error criterion, Neyman-Pearson criterion for Radar detection of constant and variable, amplitude signals, Matched Filters, optimum formulation, detection of random signals, simple problems thereon with multisample cases.

Estimation of signals in Noise: Linear mean squared estimation, non-linear estimates, MAP and ML estimates, maximum likelihood estimate of parameters of linear system, simple problems theoreon.

Text Books:

1. Alan V.Oppenheim and Ronald W.Schaffer, Digital Signal Processing, PHI,3rd edition,2002

2. J.G.Proakis, DSP Principles, Algorithms and Applications, PHI,3rd edition,2002

Reference Books:

3. Steven .M.Kay, Modern Spectral Estimation, Theory and Applications, New age International

Private Ltd,2011

4. Shanmugam and Breipohl, Detection of Signals in Noise and Estimation, John

Wiley & Sons, 2004.

5. Mischa Schwartz, L.Shaw, Signal Processing: DiscreteSprectral Analysis,

Detection, and Estimation,Mc Graw Hill

Note : The question paper shall consist of Eight questions out of which the student shall answer any Five questions.

EC802: ADVANCED DIGITAL SIGNAL PROCESSING (ADSP)

(For M.Tech. ECE(CSP) – I Semester)

L / T/D / P / C
3 / 0 / 0 / 3

Scheme : 2013

Internal Assessment : 30

End Exam : 70

End Exam Duration : 3 Hrs

Course Objectives:

  1. To make the students familiar with design of digital filters and DFTs of sequences with different lengths.
  2. To give the students an idea about multirate signal processing that is useful to combine signals of different frequencies.
  3. To make the students familiar with the architecture of DSP processors and related soft wares

Course Outcomes:

  1. The students will be able to design digital filters and apply DFTs to sequences of different lengths.
  2. The students get exposure to multirate signal processing.
  3. The students get familiarity to architectures of various DSP processors and related softwares.

Filters: Structures for FIR filters, Structures for IIR filters, effects of coefficient quantization and round off noise, designing techniques for IIR. Transformation from Analog filters, computer aided design, designing techniques for FIR filters – windowing, frequency sampling and optimum approximation

DFT: Radix-2, Radix-4 and composite Radix DIT and DIF algorithms, applications of DFT to real time DSP

Multirate Signal Processing: Mathematical description of change of sampling rate – Interpolation and Decimation – continuous time model – Direct digital domain approach – Decimation by an integer factor D Interpolation by an integer factor I. Single and multistage realization – poly phase realization – Application to sub band coding – Wavelet transform and filter bank implementation of wavelet expansion of signals.

DSP Architecture and Processors: Architectures-VanNuemann, Harward, VLIW(Very Long Instruction Word), SIMD(Single Instruction and Multiple Word), Super Scalar. Hardware-Loops, Circular Buffers.

Optimizations: Software Pipelining, Loop-unrolling, Overall mapping of DSP algorithms to architectures.

Text Books:

  1. John G.Proakis, Dimitris G.Manolakis, Digital Signal Processing, Principles,Algorithms and Applications,Pearson Education India,4th Edition,2007.
  2. Monson H.Hayes, Statistical Digital Signal Processing and Modeling, John Wiley and Sons, 1991.

Reference Books:

  1. Sopocles J. Orfanidis, Optimum Signal Processing, McGraw Hill.1988
  2. Simon Haykin, Adaptive Filter Theory. Pearson Education India,4th Edition,2005
  3. Emmanuel C.Ifeachor, Barrie W.Jervis, Digital Signal Processing: A Practical Approach, 2nd Edition, Printice Hall.2001

6 Ramesh Babu,Digital Signal Processing,Scitech Publications,4th Edition,2011

Note : The question paper shall consist of Eight questions out of which the student shall answer any Five questions.

EC803: ADVANCED COMMUNICATIONS (ACM)

(For M.Tech. ECE(CSP) – I Semester)

Scheme : 2013

L / T/D / P / C
3 / 0 / 0 / 3

Internal Assessment : 30

End Exam : 70

End Exam Duration : 3 Hrs

Course Objectives:

  1. To make the students familiar with advancements in various types of communication systems like satellite communications and mobile communications.
  2. To impart the basic knowledge about the architectures and protocol stacks of various types of mobile communication systems.
  3. To make the students aware of different types of network configurations, modulation schemes etc and understand their implementations in satellite communications.

Course Outcomes:

  1. The students will be familiar with the architectures and protocol stacks of various types of communication systems.
  2. The students will be able to understand the developments from basic to the advanced in the field of mobile and satellite communication systems.
  3. The students get enough knowledge and exposure to different types of network configurations and their applications.

Digital Modulation Techniques: M-array PSK, MSK and GMSK, Transmultiplexers.

VSAT: Very small aperture Terminal Networks VSAT Technologies, Network configurations, Multi access and Networking, Network error control polling VSAT networks

Global Mobile Satellite Systems: MSAT networks, Operating environment, concept, CDMA network, Iridium, Global star and Telederc system and comparison

Mobile Data Communications: Specialized packet and mobile radio networks, Circuit switched data services on cellular networks, packet-switched data services on cellular networks, wireless LANs – IEEE 802.11 and HIPERLAN, Mobile IP, Mobile multimedia, WATM.

GSM: Global System for Mobile Communication (GSM) system overview: GSM Architecture, Mobility management, Network signaling.

GPRS: General Packet Radio Services (GPRS): GPRS Architecture, GPRS Network Nodes.

Text Books:

  1. Digital Satellite Communications,by Tri T.H.A, Mc Graw Hil 2nd edition 2009.
  2. Mobile and Personal Communication Systems and Services, by Raj Pandya, IEEE Press,2004.
  3. Wireless Communication and Networks, by William Stallings,PHI, 2007.

Reference Books:

  1. Wireless Communications Principles and Practice, by Theodore, S. Rappaport, 2nd Ed, PHI, 2005.
  2. Fundamentals of Communication Systems by John G. Proakis, 3rd edition, PHI, 2008.

Note : The question paper shall consist of Eight questions out of which the student shall answer any Five questions.

EC804: MICROWAVECOMMUNICATIONS (MWC)

(For M.Tech. ECE(CSP) – I Semester)

Scheme : 2013

L / T/D / P / C
3 / 0 / 0 / 3

Internal Assessment : 30

End Exam : 70

End Exam Duration : 3 Hrs

Course Objectives:

  1. To make the students familiar with advancements in various types of communication systems like satellite communications and mobile communications.
  2. To impart the basic knowledge about the architectures and protocol stacks of various types of mobile communication systems.
  3. To make the students aware of different types of network configurations, modulation schemes etc and understand their implementations in satellite communications.

Course Outcomes:

  1. The students will be familiar with the architectures and protocol stacks of various types of communication systems.
  2. The students will be able to understand the developments from basic to the advanced in the field of mobile and satellite communication systems.
  3. The students get enough knowledge and exposure to different types of network configurations and their applications.

Microwave Radio System: Types of propagation, line of sight transmission, Radio Horizon, Microwave links, Repeaters, Diversity, Frequency and space diversity systems, Fading, System gain and path losses, Noise and Absorption in Microwave links.

Satellite Links: Frequency ranges, orbits, up link, transponders, downlinks, satellite system parameters, multiple access, system noise ratio G/T ratio, calculation of system noise temperatures, Noise figures, Design of satellite links for specified (C/N), Radio attenuation model.

Satellite Services: MSAT service, BSAT service, RADARSAT service, SAR SAT service, INTEL SAT service, INMAR SAT service, VSAT service.

Earth Station: Earth station design for low system noise temperature, linear apertures, rectangular apertures, circular apertures, tracking techniques, low noise amplifiers, high power amplifiers, terrestrial links and distribution.

Microwave Troposcatter propagation: Introduction to OTH (Over The Horizon) systems, Tropospheric forward-scatter radio link, block diagram of Troposcatter communication link, Transmission interference and signal damping, derivation of LOS communication range, derivation for field strength of a Tropospheric wave, Fading in troposphere and its effect on Troposcatter propagation.

Text Books:

  1. Roddy D, Microwave Techonology, Reston Publications.
  2. Chatterjee R, Microwave Engineering, East West Press.
  3. Rizzi P, Microwave Engineering Passive Circuits, Prentice Hall.
  4. Kulkarni M, Microwave Radar Engineering, Umesh Publications.

Reference Books:

  1. Tomasi M, Advanced Electronic Communication Systems, Prentice Hall.
  2. Clock P.N, Microwave Principles and Systems, Prentice Hall.
  3. Combes,Graffewil and Sauterean, Microwave Components, Devices and Active Circuits , John wiley.
  4. Annapurna Das, Sesri . K.Das , Microwave Engineering, Tata Mc GrawHill.

Note : The question paper shall consist of Eight questions out of which the student shall answer any Five questions.

EC805: DIGITAL SIGNAL PROCESSING LAB (DSPL)

(For M. Tech CSP – I Semester)

Scheme : 2013

L / T/D / P / C
0 / 0 / 3 / 2

Internal Assessment : 50

End Exam : 50

End Exam Duration : 3 Hrs

LIST OF EXPERIMETNS

  1. a) LINEAR CONVOLUTION BETWEEN TWO DISCRETE TIME SEQUENCES (CAUSAL AND NON-CAUSAL).

b) LINEAR CONVOLUTION BETWEEN TWO DISCRETE TIME SEQUENCES VIA THE DFT.

2.a) AUTOCORRELATION OF A DISCRETE SEQUENCE AND CROSS CORRELATION BETWEEN TWO DISCRETE TIME SEQUENCES.

b) AUTO AND CROSS- CORRELATION OF SIGNAL, NOISE AND NOISY SIGNAL USING MATLAB BUILT-IN FUNCTION ‘CONV ( )’.

3.a) DESIGN OF MOVING AVERAGE FILTER.

b) DESIGN OF MEDIAN FILTER.

4.a) GENERATION OF THE ENSEMBLE AVERAGE.

b) POWER SPECTRAL DENSITY OF A SEQUENCE.

5.BUTTERWORTH DIGITAL IIR FILTERS

6.DESIGN OF FIR FILTERS

7.LINEAR CONVOLUTION AND CIRCULAR CONVOLUTION ON TMS320C6711 DSK

8.N – POINT DFT ON TMS320C6711 DSK

9.DESIGN OF FIR FILTER ON TMS320C6713 DSK

10.DESIGN OF IIR FILTER ON TMS320C6713 DSK

1

Two year M.Tech Course (Scheme – 2013)

Scheme of instruction and Examination

(Effective from 20013-14)

M.Tech II Semester COMMUNICATIONS AND SIGNAL PROCESSING

Scheme-2013

S. No. / Course
No. / Course Title / Credits / Scheme of Instruction periods/week / Scheme of Examination
L / T / P / End Exam Marks / Internal Assessment Marks / Total Marks
1. / EC807 / Digital Image processing and Pattern Recognition.(DIPPR) / 3 / 3 / - / - / 70 / 30 / 100
2. / EC808 / Optical Communications(OCN) / 3 / 3 / - / - / 70 / 30 / 100
3. / EC809 / Adaptive Signal Processing(ASP) / 3 / 3 / - / - / 70 / 30 / 100
4. / EC810 / Mobile Communications(MCN) / 3 / 3 / - / - / 70 / 30 / 100
5. / Elective-II / 3 / 3 / - / - / 70 / 30 / 100
6. / EC811 / Advanced Comm. Lab (ACL) / 2 / - / - / 3 / 50 / 50 / 100
7. / EC812 / Seminar / 1 / - / - / - / - / 100 / 100
TOTAL / 18 / 15 / - / 3 / 400 / 300 / 700

1

EC807: DIGITAL IMAGE PROCESSING AND PATTERN RECOGNITION (DIPPR)

(For M.Tech. ECE(CSP) – II Semester)

Scheme : 2013

L / T/D / P / C
3 / 0 / 0 / 3

Internal Assessment : 30

End Exam : 70

End Exam Duration : 3 Hrs

Course Objectives:

  1. To Impart fundamental knowledge of Digital image processing.
  2. To make the students familiar with the various design aspects
  3. To give enough exposure to the concept pattern recognition systems.

Course Outcomes:-

  1. The students will be able to understand the developments from the basic to advanced techniques in the field of image processing.
  2. The students familiar with the various design aspects.

Digital Image Representation: Elements of digital image processing system – An image model, Basic relationships between image pixels and Basic Transformations.

Image Transforms: Study analysis with examples of Fourier Transforms, Walsh transform, Hadamard Transfrom, Discrete cosine transform, Hotelling Transform and Hough Transform.

Imaging: Image Enhancement, image smoothing and image sharpening. Image restoration, Degradation model, Algebraic approach to restoration, Inverse filtering, Least square restoration.

Image Encoding and Segmentation: Fidelity criteria, Encoding process, Transform encoding. Detection and discontinuities, Edge linking and Boundary defection, Boundary description.

Pattern recognition systems: Basic concepts, Fundamental problems in pattern recognition system design, design concepts and methodologies. Character recognition, speech recognition, Finger print recognition, clustering concepts, Cluster seeking algorithm, Maximum distance, K means algorithms.

Text Books:

  1. R.C.Gonzalez and P.Wintz, Digital Image Processing, 3rd edition Wesley Publishing Company.
  2. A.K.Jain, Fundamentals of Digital Image Processing, 2nd edition,Prentice Hall of India.

Reference Books:

  1. J.T.Tou and R.C.Gonzalez, Pattern Recognition Principles, 2nd edition Wesley Publishing Company.
  2. E.Gose and R.Johnson Bough, Pattern Recognition and Image Analysis, 2nd edition, Prentice Hall of India.

Note : The question paper shall consist of Eight questions out of which the student shall answer any Five questions.

EC808: OPTICAL COMMUNICATIONS (OCN)

(For M.Tech. ECE (CSP) – II Semester)

Scheme : 2013

L / T/D / P / C
3 / 0 / 0 / 3

Internal Assessment : 30

End Exam : 70

End Exam Duration : 3 Hrs

Course Objectives:

1. To make the students understand the importance of optical communications in the evolution of next generation communication systems.

2. To make the students familiar with the various design aspects of optical communications.

3. To give enough exposure to the concept Integrated optics.

Course Outcomes:-

1. The student will be able to understand the significance of optical communications in the evolution of next generation networks.

2. The students get the idea about the choice of proper optical components to meet the design requirements of advanced networks.

System Concepts: Need for optical system, system model, laser and fiber optic communication, choice of wave length, source and detectors, photonic vs Electronic systems.

Fiber Optic System: Guided light transmission modes, Fiber structure, types characteristics, signal attenuation and dispersion, slices, connectors and couplers, fiber optic cables, optical sources: LED and Laser diodes, characteristics, Homo and hetrojunction optical receivers: PIN/APD –characteristics, modulation and demodulation schemes, optical transmitters and receivers.

Optical Link Design: System considerations, power budget, rise time budget, maximum link length design system design.

WDM conceptsand Components: Operational principle of WDM, passive components, tunable sources and tunable filters.

LASERS and Modulators: Requirements, spontaneous and stimulated emission, Ruby and HENE Lasers, characteristics and applications. Laser modulators: Electro-optic and acoustor optic effects and modulators, system realization, LASER radars.

INTEGRATED OPTICS: Advantages of I/O planar waveguides slab and strip waveguides, direction couplers, semiconductor sources and detectors, modulators, optoelectronic integration, digital optics, optical computing trends in optical integrated circuits.

Advanced Optical Systems: Coherent light wave systems, semiconductor laser amplifier and Erbium doped fiber amplifier. Solition communication system. Fiber optic networks: LANs, FDDI and SONET/SDH: features, concepts, protocol architecture and functional working.

Text Books:

  1. Optical Communications: Components & Systems, by Franz and Jain, Narosa Publishing, 2002. .
  2. Optical Fiber Communications , by Senior M.J, 2nd Ed, PHI, 2003.

References Books:

  1. Optical Fiber Communication, by Keiser.G, 2nd Ed, McGrawHil, 2nd ed, 1991.
  2. Introduction to Fiber Optics by Ghatak A.K. and Thyagarajan.K, Cambridge University Press,

2000.

Note : The question paper shall consist of Eight questions out of which the student shall answer any Five questions.

EC809: ADAPTIVE SIGNAL PROCESSING (ASP)

(For M.Tech. ECE (CSP) – II Semester)

Scheme : 2013

L / T/D / P / C
3 / 0 / 0 / 3

Internal Assessment : 30

End Exam : 70

End Exam Duration : 3 Hrs

Course Objectives:-

1. To build a strong foundation in adaptive signal processing.

2. To develop the mathematical theory for realizing various linear adaptive filtering algorithms.

3. To make the students familiar with various applications of adaptive signal processing.

Course Outcomes:-

1. The student will be able to design, implement and apply various adaptive filtering algorithms.

2. The student will be able to analyze the accuracy and determine the advantages and disadvantages of each method.

3. The students will be able to identify the applications in which it will be possible to apply the different adaptive filtering approaches.

Introduction: Adaptive filters, Filter structures, approaches to the development of Adaptive filter theory, Applications.

Discrete Time Wide Sense Stationary, Stochastic Process, Stationary Process, Spectrum Analysis, Eigen Analysis.

Linear Optimum Filtering : Weiner Filters – Linear Prediction, Lattice predictors.

Linear FIR Adaptive Filtering: Method of steepest descent, mean squared error, Least mean square Adaptive algorithm, Gradient Adaptive lattice Algorithm.