EEE 303 Signals and Systems (3) [F, S, SS]
Course (Catalog) Description: Introduction to continuous and discrete time signal and system analysis, linear systems, Fourier transform, introduction to z-transform and discrete-time transfer functions.
Course Type: Required for all electrical engineering majors.
Prerequisite: EEE 302.
Corequisites: MAT 342.
Textbook: Oppenheim and Willsky Signals and Systems, Second Edition, Prentice Hall, 1997.
Supplemental Materials: Class notes and software distributed by the instructor.
Coordinator: K. Tsakalis, Associate Professor
Prerequisites by Topic:
- Linear Circuit Theory
- Laplace Transforms
- Infinite Series
Course Objectives:
- Students understand continuous-time and discrete-time linear systems
- Students can apply Fourier analysis to important problems in communication and signal processing
Course Outcomes:
- Students can state and apply time-domain properties of continuous-time (CT) and discrete-time (DT) linear time-invariant (LTI) systems
- Students have the ability to apply the Fourier transform in CT/DT signal analysis
- Students understand and can use fundamental frequency-domain properties of CT and DT LTI systems
Course Topics:
- Continuous-time (CT) and discrete-time (DT) signals
- CT and DT systems
- Linearity, time-invariance, causality, and block diagrams of systems
- Impulse response and FIR/IIR systems
- CT and DT convolution
- Transient and steady state responses
- Fourier transform and its properties
- Frequency response and frequency-domain analysis of CT systems
- Introduction to Z transform and discrete-time transfer functions
- Introduction to frequency-domain analysis of DT signals and systems
- Sampling theorem
- BIBO stability
Computer Usage: Exercises and demonstrations using MATLAB.
Laboratory Experiments: None.
Course Contribution to Engineering Science and Design:
EEE 303 emphasizes engineering design by using open-ended exercises. Most of these involve specification of a filter to accomplish a particular goal or design of signals having desired properties. An example of the first type of problem is to specify the impulse response of an analog filter that will pass a radio transmission while rejecting a signal in a nearby frequency band. Since there are many possible solutions to such a problem, students are able to consider design tradeoffs and issues involved in practical implementation.
Course Relationship to Program Objectives: (degree of support in brackets)
A.1 [2] Students are exposed to the fundamental theory of signal processing and system theory that are central in, e.g., the contemporary fields of communications, speech, and image processing. They are also exposed to modern CAD tools (e.g., MATLAB) that have been used extensively during the last decade in industry and academia.
A.2 [1] The operation of basic circuits and electrical/electronic/communication processes is reviewed for the purpose of obtaining quantitative mathematical models in the system-theory framework.
C.1 [2] Fluency in this course is essential for employment in any communication/signal processing/control industry.
C.2 [3] Same as C.1 for graduate studies in the systems area. A rigorous background on the course material provides a solid foundation for successful graduate studies.
D.1 [1] Students receive exposure by analyzing in-depth the idealized versions of certain fundamental problems (sampling, filtering, AM modulation/demodulation and multiplexing)
D.2 [2] Students obtain models for simple circuits to motivate the development of their system-level properties.
D.3 [2] The translation of physical problems into an abstract but rigorous and quantitative mathematical framework enhances the understanding of the physical phenomena.
D.4 [1] Students get exposed to MATLAB or other CAD software for system simulation and analysis of signals. There is also an at least modest use of such tools in select homework problems.
D.5 [1] Through A.1, A.2, D.2, D.3
Person preparing this description and date of preparation: Konstantinos Tsakalis, Feb. 2003.