Master of Technology [M.Tech] (Electronics & Telecommunications Engineering)

Mathematics for Communication Engineering

Vector spaces, linear dependence, matrix representation of linear transformation, Basic Limit theorem, Linear Predictions and filtering

This subject intends to provide the mathematical tools which students will require in the following course and to be well knowledge of linear algebra and its applications

System Designs using embedded processors

Microcontroller, PIC Peripherals and Interfacing, Introduction to embedded systems, Real Time operating systems

This subject will give them thorough knowledge of PIC controllers, basics of embedded systems and real time operating systems.

Signal Processing Systems Lab

Advanced Digital Communication

Random process, Central Limit theorem, cross correlation and auto correlation functions, communication over band limited channels.

This subject teaches us the fundamentals of digital communication and the recent developments in it.

Wireless Communication

Wireless channel modes, fading channel capacity, Cellular Communication, Spread Spectrum and CDMA

This subject provides description of wireless mobile communication, and students can know about different channels in a wireless network

Digital Systems Design

Introduction to VHDL, analysis of clocked sequential networks, programmable LSI techniques

This subject teaches them to design and implement their ideas to make sequential digital system and even test it

Information Theory

Zero memory sources, source coding, channel capacity, uniquely decodable codes, Entropy calculation

This subject will make the students able to be well aware of Information theory as it provides detailed concepts and fundamentals of Information Theory.

Communication Networks

Internet Architecture, Broadband services and QoS issues, Introduction to queuing theory, statistical multiplexing in Communication

This subject provides in depth knowledge of Internet Architecture and other applications such as statistical multiplexing and internetworking applications

Wavelets Theory

Fourier and sampling theory, splines, biorthogonality, time frequency analysis

This subject gives an introduction to wavelets theory and its applications.

Biomedical Signal Processing

Concurrent, coupled and correlated processes , cardio vascular applications, neurological applications

This subject focuses on introduction of biomedical signal fundamentals, tools , and neurological applications of signal processing.

Linear Systems Theory

Finite dimensional signal space, linear systems, invertibility, polynomial applied to operators, metric spaces

This subject teaches about vector space representation of signals, orthonormal bases and basics of linear systems.

Power Electronics

Review of line commutated converters, inverters, voltage control, current source inverters, phase controllers

This subject provides an insight to power electronics in a detailed and profound way and also uses of its applications. It tells about how the inverters are made, different sources and modification of power circuits.

Spectral Analysis of Signals

Power spectral density, PSD estimation, Parametric method for rational spectra, folter bank methods, periodogram properties.

This subject deals with introduction to spectral analysis and different methods for spectral analysis.

 Secure Communications

rings and fields, basic encryption techniques, elliptic curves, concept of cryptanalytic, Euclidean domains

This subject provides basic knowledge of secure communications and building up of mathematics of secure communications.