EE221: Signal Analysis & Systems

Instructor: Prof. Mohammed Hawa (Office Hours).

Textbook: Linear Systems and Signals by B.P. Lathi and Roger Green, Oxford University Press, 3rd Edition, 2017.

Wednesday Zoom Lecture:
May 20, 2026 10:00 AM Amman

https://us05web.zoom.us/j/85417634723?pwd=NYvj6YdyYGCMuK0xuFyisWp6XHicR4.1

Meeting ID: 854 1763 4723
Passcode: 99

• • Syllabus (Course outline and ABET outcomes)
• • Trigonometric Identities Table
• • Table of Integrals
• • MATLAB Primer
•  
• • Assignment: Due Tuesday April 14, 2026
•  
• • Lecture 1: Motivation to Signal Analysis
• • (YouTube Video)
•  
• • Lecture 2: Complex Numbers
• • (YouTube Video Part 1, YouTube Video Part 2)
• • Practice Problems: Complex Numbers
•  
• • Lecture 4: Some Basic Signals
• • (YouTube Video)
•  
• • Lecture 5: Additional Basic Signals
• • (YouTube Video)
•  
• • Lecture 7: Signal Classification
• • (YouTube Video Part 1, YouTube Video Part 2)
• • Practice Problems: Signal Classification
•  
• • Lecture 9: Common Operations on Signals
• • (YouTube Video)
• • Practice Problems: Common Operations on Signals
•  
• • Lecture 11: Fourier Series: The Concept
• • (YouTube Video)
•  
• • Lecture 12: Fourier Series: Forms and Equations
• • (YouTube Video)
• • Practice Problems: Fourier Series Equations (Updated)
• • Practice Problems: Fourier Series Equations
•  
• • Lecture 14: Fourier Series: Examples (Updated)
• • Lecture 14: Fourier Series: Examples
• • (YouTube Video Part 1, YouTube Video Part 2)
•  
• • Lecture 15: Fourier Series: More Examples
• • (YouTube Video Part 1, YouTube Video Part 2)
• • Practice Problems: Fourier Series
•  
• • Lecture 17: Fourier Series: Magnitude & Phase Spectrum
• • (YouTube Video)
•  
• • Lecture 19: Convolution of Signals: Integral
• • (YouTube Video)
•  
• • Lecture 20: Convolution: Graphical Solution
• • (YouTube Video)
•  
• • Lecture 22: Convolution Properties
• • (YouTube Video)
•  
• • Practice Problems: Convolution
• • (YouTube Video)
•  
• • Lecture 25: Fourier Transform: Concept & Equations
• • (YouTube Video)
•  
• • Lecture 26: Fourier Transform: Examples
• • (YouTube Video)
•  
• • Lecture 27: Fourier Transform Properties
• • (YouTube Video)
• • Practice Problems: Fourier Transform
•  
• • Lecture 30: Correlation
• • (YouTube Video)
•  
• • Lecture 31: Energy & Power Spectral Densities
• • (YouTube Video)
•  
• • Lecture 35: System Classification & Impulse Response
• • (YouTube Video)
•  
• • Lecture 37: Filters and Filter Types
• • (YouTube Video)
•  
• • Lecture 40: Sampling & Nyquist Rate
• • (YouTube Video)
•  
• • Lecture 42: Fourier Transform for Discrete-Time Signals