Signals that carry information play a central role in technology and engineering — signals ranging from sound and images to sensors, radar, communication, MRI, ultrasound, touch-screens, GPS, and robotic control. This course teaches mathematical tools to analyze, manipulate, dissect, and preserve information signals. We discuss how continuous signals can be perfectly represented through sampling (Nyquist theorem), which leads to the use of digital signals. A major focus of the course is the Fourier transform — how, when, and why to use it. We also study linear time-invariant systems, modulation, quantization, and stability (using the related Laplace transform and z-transform). The learning is applied in design projects using Matlab, such as a “Shazam” music identification system.
Prof. Paul Cuff
Please use Piazza for communication with the teaching staff. See the explanation below on this page.
Time and Location
No textbook purchase is required. Course notes provided by Prof. Kulkarni are available online. Also, the following textbook, used by many universities, will be helpful but not required:
Signals and Systems, second edition. Oppenheim and Willsky with Nawab.
Please use Piazza (www.piazza.com) for all electronic communications with the teaching staff rather than email. This approach should help you obtain answers speedily. Piazza is a question-and-answer platform specifically designed to get you answers fast. They support LaTeX, code formatting, embedding of images, and attaching of files. We encourage you to ask questions when you're struggling to understand a concept – you can even do so anonymously.
Announcement will be sent to the class using Piazza. All enrolled students should create an account in Piazza (www.piazza.com) by visiting their website. Click “enroll now” and select “Princeton University,” then search for “ELE 201.” Alternatively, this link should take you right there.
Blackboard will only be used for communicating grades on assignments and exams and for distributing solutions (not intended for the eyes of future students). The lab door code can also be found in the Blackboard announcements.