Teaching

ECE 6634 - Multi-Channel Communications

This course is meant to provide an in-depth study of modern multi-channel communications techniques, specifically multi-antenna systems (known as multiple-input multiple-output or MIMO systems) and Orthogonal Frequency Division Multiplexing (OFDM)-based systems.

An introductory graduate course in digital communications. Major topics will include: modulation theory (Maximum A Posteriori decision theory, optimum receivers, vector-space representation of signals, probability of error analysis, energy and bandwidth efficiency), basic simulation principles, signal processing (block codes, convolutional codes, equalization), and estimation theory (synchronization). Examples will be taken from mobile fixed radio and satellite communications systems.

To develop a fundamental understanding of spread spectrum communication systems. Of primary importance is an understanding of the ability of spread spectrum to combat jamming and interference, combat fading and prevent intercept. We will also examine the use of these properties in the context of commercial systems as applied to Code Division Multiple Access or CDMA.

This is a senior elective/introductory graduate course on the fundamentals of communications. The objective of the course is to develop a fundamental understanding of the communication systems. Signal modulation techniques will be emphasized. Digital techniques (pulse code modulation, phase shift keying, frequency shift keying) will primarily be considered. Modulation techniques will be analyzed both on the basis of spectral characteristics and performance in random noise. Examples of practical communication systems will be presented.

This is a senior elective/introductory graduate course on the fundamentals of communications. The objective of the course is to develop a fundamental understanding of the communication systems. Signal modulation techniques will be emphasized. Digital techniques (pulse code modulation, phase shift keying, frequency shift keying) will primarily be considered. Modulation techniques will be analyzed both on the basis of spectral characteristics and performance in random noise. Examples of practical communication systems will be presented.

This course is an introduction to communication systems that focuses on the analysis and design of analog and digital communication systems based on Fourier analysis. Topics include linear systems and filtering, power and energy spectral density, basic analog modulation techniques, quantization of analog signals, line coding, pulse shaping, and transmitter and receiver design concepts. Applications include AM and FM radio, television, digital communications, and frequency-division and time-division multiplexing.

This is an undergraduate course on mathematical representation of signals and systems. The main objective of this course is to develop analysis techniques for signals and systems. To do this we will specifically study signal representation, including Fourier and Laplace transforms and system definitions and properties, such as linearity, causality, time invariance, and stability. Specific techniques that will be studied include the use of convolution, transfer functions and system frequency response to determine the output of a system based on the input. These topics are fundamental to all of engineering but are absolutely vital to the fields of communications, signal processing, electro-magnetics, controls and electronics.