Course Syllabus: Signals and Systems
Division: Electrical Engineering
Course Number: 110130320
Course Title: Signals and Systems
Academic Semester: Fall
Academic Year: 2022-2023
Semester Start Date: 18 September 2022
Semester End Date: 4 January 2023
Class Schedule: Saturdays (11-13) and Mondays (14-16)
Instructor Name: Dr. Hadi Azmi
Email: h_azmi@sut.ac.ir
Teaching Assistant Name: Aliakbar Samani
Email: asbunimath2021@gmail.com
Course Information
Comprehensive Course Description
This course covers the fundamentals of signal and system analysis tackling both continuous-time (CT) and discrete-time (DT) systems. The course provides the necessary background needed for understanding analog and digital signal processing, automatic control, analog and digital communications, and probability and random processes. The course focuses on the study of linear time-invariant (LTI) systems and their analysis in the time domain or in the frequency domain. Fourier analysis in this course includes Fourier series for periodic continuous-time signals, the continuous-time Fourier transform (CTFT) and the discrete-time Fourier transform (DTFT). In addition, the course includes a chapter on Laplace transform.
Course Description from Program Guide
Introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products. The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. It addresses the following topics: classifications of signals and systems, basic signal operations, linear time-invariant (LTI) systems, time-domain analysis of LTI systems, signal representation using Fourier series, continuous-time Fourier transform, discrete-time Fourier transform, and Laplace transform.
Goals and Objectives At the end of this course, students should:
1. Understand the basic concepts for continuous-time and discrete-time signals and systems.
2. Understand linear time-invariant systems and their characterization using impulse response.
3. Be able to compute the output of a continuous-time or discrete-time linear time-invariant system using convolution in the integral or sum form.
4. Understand Fourier series for the analysis and representation of periodic continuous-time signals.
5. Understand the representation of signals using a countably infinite orthogonal basis.
6. Understand the actual meaning of the Fourier series and its infinite sum.
7. Be able to develop the continuous-time Fourier transform from the Fourier series and understand related topics such as time scaling, convolution theorem, Parseval's relation, uncertainty principle and eigen functions of the Fourier operator.
8. Understand the discrete-time Fourier transform and its properties.
9. Understand the Laplace transform and concepts such as the region of convergence.
Required Knowledge Calculus and basic concepts of linear algebra
References:
* Signals and Systems (2nd Edition) by Alan V. Oppenheim, Alan S. Willsky with S. Hamid
* Signals and Systems (2nd Edition) by Simon Haykin and Barry Van Veen
* Signals and Systems using MATLAB (2nd Edition) by Luis Chaparro
Method of evaluation:
(8 / 25) - Final exam
(6 / 25) - Midterm exam (5 December 2022 - 14 Azar 1401 - Monaday 14 - 17)
(4 / 25) - Homework /Assignments
(2 / 25) - Queez
(±5 / 25) - Matlab Project
Nature of the assignments Problem sets.
The time allocated to an assignment may vary depending to its difficulty and the required amount of work. Students are encouraged to try the homework problems on their own, and then refine their comprehension of technical material with other students.
Course Policies. Late homework submissions are not accepted.