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Graduate Courses

Signal Processing/Communications

ECE 2410: FOUNDATIONS OF WIRELESS COMMUNICATIONS, (3 CREDITS) Concept related to wireless communication at the lower layers of the DSI stack and some architectural issues. Broad overview of network topologies, the cellular concept and architecture, rudimentary concepts of radio propagation and multipath fading, antennas, introduction to digital modulation, error control coding in wireless systems, multiple-access schemes, and spectrum issues. Topics treated with existing systems as examples rather than as abstractions. Both mathematical and qualitative. Prerequisite: Telcom 2210

ECE 2429: DIGITAL COMMUNICATIONS I, (3 CREDITS) Concepts in digital modulation and coding theory with emphasis on techniques employed in a variety of communication systems, including equalization, detection of signals in noise, spread spectrum communications, modulation and coding, and frequency hopping. Prerequisites: Telcom 2210, Telcom 2710 (ECE 2410)

ECE 2430: QUEUING THEORY, (3 CREDITS) Development and application of the mathematical techniques used for analyzing the performance of communications networks. Topics include Markovian queues, Non-Markovian queues, products form networks, approximation techniques, nonstationary queues. Prerequisites: Telcom 2120, Telcom 2310

ECE 2521: ANALYSIS OF STOCHASTIC PROCESSES, (3 CREDITS) Probability theory, random variables, sums and limits of random variable sequences, time and frequency domain, modeling of continuous and discrete random signals, least-squares estimation.

ECE 2523: DIGITAL SIGNAL PROCESSING, (3 CREDITS) Discrete-time signal processing, discrete Fourier transform and FFT implementation, design and stability considerations of FIR and IIR filters, filter implementation and finite register effects.

ECE 2595: SPECIAL TOPICS: SIGNAL PROCESSING/COMMUNICATIONS, (3 CREDITS) An MS level course in special topics of current interest in signal processing/communications.

ECE 3422: INFORMATION THEORY, (3 CREDITS) Markov source statistics, the theory of information, channel capacity for noise-free and noisy channels, Huffman codes and other source coding techniques, introduction to error correcting channel codes. Prerequisite: ECE 2521

ECE 3524: DIGITAL SPEECH PROCESSING, (3 CREDITS) The application of digital signal processing techniques in the representation, analysis, and synthesis of speech signals. Topics include digital modeling of speech signals, waveform coders, time and frequency methods in speech processing, linear predictive coding of speech, and discussion of speech processing systems in the area of human-machine communication by voice. Prerequisites: ECE 2521, ECE 2523

ECE 3526: MODERN SPECTRAL ESTIMATION, (3 CREDITS) An overview of concepts of modern spectral analysis covering traditional approaches and modern estimation methods. The properties, advantages and disadvantages of each estimator will be covered in detail and demonstrated using computer experiments. Also covered are applications of spectral estimation to signal detection and beam forming. Prerequisite: ECE 2521

ECE 3528: TIME-FREQUENCY SIGNAL ANALYSIS, (3 CREDITS) This course covers the theory and application of time-varying spectral analysis. Topics include why spectra change, the AM/FM model of signals, instantaneous frequency and bandwidth, signal density functions, the short-time Fourier transform, the Wigner distribution, Cohen's class of time-frequency distributions, signal-dependent distributions and the evolutionary spectrum. Prerequisite: ECE 2523

ECE 3530, DIGITAL COMMUNICATIONS, (3 CREDITS), Binary and M-Ary computer based communications, representation theory and the geometric interpretation of the communication channel, maximum likelihood decisions, multicarrier modulation, spread spectrum techniques. Prerequisite: ECE 2521

ECE 3557: STATISTICAL SIGNAL PROCESSING, (3 CREDITS), Random vectors, discrete-time stochastic processes; rational and state-space Gaussian-Markov discrete-time models; estimation: parameter estimation, Wiener and Levinson filtering, Kalman filtering (modeling, filtering and prediction, stability and computational aspects); adaptive filtering. Prerequisites: ECE 2521, ECE 2523

ECE 3595: ADVANCED TOPICS: SIGNAL PROCESSING, (3 CREDITS) A Ph.D. level course in advanced topics of current interest in the area of signal processing/communications.

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