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Undergraduate

ECE2025 Introduction to Signal Processing
Introduction to signal processing for discrete-time and continuous-time signals. Filtering. Frequency Response. Fourier Transform. Z Transform. Laboratory emphasizes computer-based signal processing.
ECE3075 Random Signals
Study of random variables and random processes for applications in electrical and computer engineering. Includes an introduction to statistical filtering, parameter estimation, Markov processes.
ECE4025 Real-Time DSP Implementations Using DSP Microprocessors
A team-oriented design course in which students will address all aspects of the total implementation of real-time DSP systems from DSP algorithms to real-time I/O.
ECE4270 Fundamentals of Digital Signal Processing
Introduction to Digital Signal Processing. Sampling Theorem, Discrete-time Fourier transform, power spectrum, discrete Fourier transform and the FFT algorithm, z-Transform, digital filter design and implementation.
ECE4271 Applications of Digital Signal Processing
Applications of DSP in speech, image processing, radar, pattern recognition, and adaptive filtering requiring working software implementations applied to the analysis of real signals.
ECE4273 Design Synthesis of Application-Specific Signal Processors
Fundamentals of theory and practice of DSP chip design in VHDL. Exposure to tools and environments for chip design, simulation, and verification.


Graduate

ECE6250 Advanced Digital Signal Processing
An introduction to advanced signal processing methods that are used in a variety of application areas.
ECE6254 Statistical Digital Signal Processing and Modeling
Introductory course in digital signal processing, and includes the following topics: Signal Modeling, Optimum Filters, and Power Spectrum Estimation.
ECE6255 Digital Processing of Speech Signals
The application of digital signal processing to problems in speech communication. Part of this goal requires a laboratory project.
ECE6258 Digital Image Processing
An introduction to the theory of multidimensional signal processing and digital image processing, including key applications in multimedia products and services, and telecommunications.
ECE6271 Adaptive Filtering
Basic theory of adaptive filter design and implementation. Steepest descent, LMS algorithm, nonlinear adaptive filters, and neural networks. Analysis of performance and applications.
ECE6272 Fundamentals of Radar Signal Processing
Signal modeling including radar cross section, multipath, and clutter. Properties of the ambiguity function and coded waveforms. Algorithms for doppler processing, detection, and radar imaging.
ECE6273 Methods of Pattern Recognition with Application to Voice
Theory and application of pattern recognition with a special application section for automatic speech recognition and related signal processing.
ECE6276 DSP Hardware Systems Design
A study of theory and practice in the design and implementation of DSP algorithms on programmable processors, multiprocessors, and ASICs.
ECE6277 DSP Software Systems Design
Specification, evaluation, and implementation of realtime DSP applications on embedded DSP-based environments.
ECE6279 Spatial Array Processing
Introduce application areas where signals are sampled over space and time. Transfer knowledge of time-based techniques to spatial processing. Develop algorithms unique to spatial processing.
ECE7251 Signal Detection and Estimation
Detection theory and estimation theory and their application to communications and statistical signal processing problems.
ECE7252 Advanced Signal Processing Theory
A lecture and seminar treatment of the latest developments in signal processing. Emphasis is placed on current literature and emerging research areas.


Other Related Courses

ECE6555 Optimal Estimation
Techniques for signal and state estimation in the presence of measurement and process noise with the emphasis on Wiener and Kalman filtering.
ECE6601 Random Processes
To develop the theoretical framework for the processing of random signals and data.
ECE6605 Information Theory
To introduce the mathematical theory of communications. Emphasis will be placed on Shannon's theorems and their use in the analysis and design of communication systems.