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Course Number: EE-301
Course Title: Signals and System Analysis
Course Credits: 3 (3 lectures, 1 tutorial, 0 labs)
Course Catalog Description:
Motivation and Applications, Signal Classifications, Signal Operations; Linear time-Invariant Systems and Convolution; Correlation; Fourier Series and Transform for continuous and discrete time signals; Applications; Laplace transform and applications; Introduction to z-transform.
Coordinator: Saeed Aldosari, Assistant Professor, Electrical Engineering
Goals:
This course aims to provide the students with fundamental frequency-domain and time-domain tools to analyze continuous and discrete time signals and systems.
Learning Objectives:
1- To learn the principles of continuous and discrete-time signals.
2- To have an understanding of basic system properties.
3- To be able to analyze the response of linear & time-invariant systems using the convolution.
4- To be able to represent time-domain signals using Fourier representations and to be familiar with the basic properties of such Fourier representations
5- To understand the principles of sampling of continuous-time signals.
6- To be able to analyze the response of linear & time-invariant systems in the frequency domain (using Fourier transforms).
7- To have a basic understanding of other representations such as the Laplace and Z transforms.
Text Books:
A. V. Oppenheim, A. S. Willsky, and S. H. Nawab, “Signals & Systems,” Prentice Hall, 1997.
Reference Texts:
Haykin and Veen , “Signals and Systems,” John Wiley, 1998.
Prerequisites: EE-202, EE-107, EE-101
Calculus, linear algebra, basics of electric circuit analysis.
Topics:
|
Topic |
Weeks |
|
Introduction to Signals: signal classifications, signal transformations, basic discrete-time (DT) and continious-time (CT) signals |
2 |
|
Introduction to systems: interconnection of systems, system properties |
1 |
|
Linear time-invariant (LTI) systems: impulse response, convolution, properties of LTI systems |
2 |
|
Correlation analysis: cross and auto correlation, properties of correlation functions. |
1 |
|
Fourier representation: DT and CT Fourier series, DT and CT Fourier transform |
1 |
|
Properties of Fourier representations |
2 |
|
Frequency response of LTI systems |
1 |
|
DT processing of CT signals |
1 |
|
The Laplace transform: region of convergence, properties of Laplace transform, analysis of LTI systems using Laplace transform |
2 |
Course Structure:
Three 50-minute lectures in addition to a 50-minute tutorial are given every week. There is a weekly homework and two mid-term exams. In addition, several 10-minute quizzes are given throughout the semester.
Computer Resources:
None.
Laboratory Resources:
None.
Grading:
10 % Section work
20 % First mid-term exam
20 % Second mid-term exam
10 % Quiz + Attendance
40 % Final Exam
Outcome Coverage:
(a) Apply math, science and engineering
In this course, various mathematical concepts and tools are used to analyze engineering systems.
(c) An ability to design a system, component, or process to meet desired needs.
Though this course, the students learn how to design continues and discrete time systems that meet certain time and frequency domain requirements.
(e) Identify, formulate and solve engineering problems.
This course shows how to solve various engineering problems using frequency and time-domain tools. Examples include electric circuit analysis and amplitude modulation systems. |