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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. |