CSE3451: Signals & Systems
Course Information
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Course Description
Mathematical modeling of signals and systems is needed in a wide range of applications including communications, biomedical engineering, finance, and computer graphics. This course is an introduction to time and frequency domain analysis of signals and systems. In particular, we will cover the concepts of continuous and discrete signals, linear time invariant systems, convolution, Fourier series and transforms, as well as filter design.
General Information
| Instructor: | Azadeh Kushki |
| Email: |  |
| Office: | CSE 2012 |
| Office Hours: | Tuesday (14.30-15.30) and Thursdays (14.30-15.30) |
| Lectures: | Tuesday (13.00-14.30) and Thursdays (13.00-14.30) |
Text book & Recommended Reading
- M. Mandal and A. Asif, Continuous-time and Discrete-time Signals and Systems, Cambridge University Press (required). [The text will available in the second week of September. Please download the first chapter from the publisher.]
- Alan V. Oppenheim and Alan S. Willsky with S. Hamid Nawab, Signals and Systems, NJ: Prentice Hall, 2nd edition, 1983. ISBN # 0-13-814757-4 (recommended).
- Simon Haykin and Barry Van Veen, Signals and Systems, Toronto: Wiley and Sons, 1999. ISBN # 0-471-13280-7 (recommended).
Academic Honesty
"Academic honesty requires that persons do not falsely claim credit for the ideas, writing or other intellectual property of others, either by presenting such works as their own or through impersonation. Similarly, academic honesty requires that persons do not cheat (attempt to gain an improper advantage in an academic evaluation), nor attempt or actually alter, suppress, falsify or fabricate any research data or results, official academic record, application or document.
Suspected breaches of academic honesty will be investigated and charges shall be laid if reasonable and probable grounds exist."
Text obtained from:
http://www.yorku.ca/secretariat/policies/document.php?document=69