Home Page

Example frontpage imageWelcome to the Home Page for Signals and Systems 1. On this site you will find a variety of useful resources, including lecture notes, problem sets, laboratory assignments, demos that illustrate many of the concepts and applications covered in the course, and links to important resources outside this web page.

The weekly schedule of lectures, labs, and recitations along with the office hours and email addresses of the entire ECE 220 staff may be found here.


  • Basis continuous time signals and systems.
  • Proerties of continuous time systems.
  • Fourier Series - Theory and applications
  • The Fourier transform.
  • Properties of the Fourier transform.
  • The uncertainty principle
  • Differential equations and the Laplace transform
  • An introduction to time-frequency analysis and the continuous wavelet transform.







About the Course

This course will give the student an appreciation and an understanding of the analysis of signals in the time and frequency domain. Important concepts such as frequency response, linearity and time-invariance, and stability of systems will be introduced.

The objectives of the course are:

  1. Introduce students to the basic types of signals and systems encountered in engineering and to important properties of these systems.
  2. Introduce students to methods of characterizing and analyzing continuous-time signals and systems in the time and frequency domains.

The prerequisites for this course are:

  1. The academic prerequisite for this course is a C or better in ECE 201. In addition, two math courses (MATH 203 and MATH 214) are corequisites. In addition, it is assumed that you are familiar with Matlab, which you used in ECE 201.

The requirements of the course are:

  1. A willingness to work hard and to think independently.
  2. A commitment to put a time, outside of class, reading and working problems.
  3. A desire to learn and to not be afraid to ask questions.

More information may be found on the syllabus web page here and in the PDF of the syllabus, which may be obtained by clicking here.


About Monson H. Hayes

Dr. Hayes is a Professor of Electrical and Computer Engeering at George Mason University and Chair of the Department. Dr. Hayes received his Sc.D. in Electrical Engineering and Computer Science from M.I.T. in 1981 and then joined the faculty in the School of Electrical and Computer Engineering at Georgia Tech where he is currently Professor Emeritus. From 2006 until 2011, he was an Assocaite Chair for the School of ECE and Associate Director of Georgia Tech Savannah. In March of 2011, he became a Distinguished Foreign Professor at Chung-Ang University in Seoul, Korea. In the Fall of 2014, Dr. Hayes joined the faculty at George Mason University.

 Dr. Hayes has become internationally recognized for his contributions to the field of digital signal processing. He has published more than 180 articles in journals and conference proceedings, and is the author of two textbooks, Statistical Digital Signal Processing and Modeling (Wiley, 1996), and Schaum’s Outline on Digital Signal Processing (McGraw-Hill, 1999). His research interests include DSP algorithms, signal modeling, image and video processing, face recognition, and DSP education. His current projects include face recognition for personalization, lane tracking for driver awareness, pattern recognition, and deep learning.