## ELE 201: Information SignalsProf. Paul Cuff, Princeton University, Spring Semester 2015-16.
## Course DescriptionSignals 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. Topics: transforms for signal analysis (Fourier in particular) convolution linear time-invariant systems filtering and signal processing sampling and modulation compression and error-correction stability
Labs: Shazam music-identification system MP3 audio compression
## Teaching Staff## InstructorProf. Paul Cuff ## Teaching AssistantsBurcin Cakir Weiliang Jin Chinmay Khandekar Sunil Pandey Lanqing Yu
Please use Piazza for communication with the teaching staff. See the explanation below on this page. ## Time and Location## LecturesRoom: Friend 008 ## Lab SessionsMonday: 1:30-4:20pm ## Office HoursWednesday: 10-11am (Prof. Cuff in B-316 E-Quad) ## QuizzesA quiz will be given during the first five minutes of each class period. ## TextIt is recommended that you choose a primary text to study from. Two suggestions are given below. Additionally, a supplemental text is suggested for those who want additional illustrations and examples from a different presentation style, and Prof. Kulkarni has made course notes available from a previous course. ## PrimaryThese two texts are similar in content. The first (Oppenheim-Willsky) has been around a while and used by many universities. There are a few notational discrepancies with how I teach, but nothing that is very difficult to work around. The second (Roberts) is newer and matches the notation I use. It also has some Matlab code for examples. Signals and Systems, second edition. Oppenheim and Willsky with Nawab. Signals and Systems, second edition. Roberts. ## SupplementalCourse notes provided by Prof. Kulkarni are available here. They provide a very helpful discussion of signals and system but do not cover all of the course content. The colorful and well illustrated book below seems to go through many examples. I'm not sure how it flows in terms of core concepts, but it might provide a helpful supplement for those who want additional and perhaps different discussion of the material. Engineering Signals and Systems. Ulaby and Yagle. ## MatlabMatlab will be used in each of the labs for this course. We don't assume that you have used Matlab before. The first few labs will be introductory. ## PiazzaPlease 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.
## BlackboardBlackboard 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. |