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Course Details

Spring 2012-2013
* ELE 201 (STL)  

Information Signals

Paul W. Cuff

Signals that carry information play a central role in technology and engineering---ranging from sound and images to MRI, communication, radar, and robotic control. This course teaches mathematical tools to analyze, manipulate, dissect, and preserve information signals. For example, many continuous signals can be perfectly represented through sampling (Nyquist theorem), which leads to digital signals. A major focus of the course is the Fourier transform. We also study linear time-invariant systems, modulation, quantization, and stability (Laplace transform and z-transform). Lab design projects in Matlab include a "Shazam" music ID system.

Sample reading list:
S. Kulkarni, Course notes
Oppenheim and Willsky, Signals & Systems, 2nd Edition

Reading/Writing assignments:
Weekly reading. Bi-weekly homework assignments (problem sets). Bi-weekly labs.

Requirements/Grading:
Mid Term Exam - 25%
Final Exam - 40%
Lab Reports - 15%
Problem set(s) - 20%

Other Requirements:
Course is required for concentrators

Prerequisites and Restrictions:
The prerequisite for this course is knowledge of elementary calculus..

Other information:
Enrollment in labs will be done using SCORE.

Website:  http://blackboard.princeton.edu

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
41895 L01 1:30 pm - 2:50 pm T Th   Computer Science Building   104   Enrolled:61 Limit:80
41891 B01 1:30 pm - 4:20 pm M   Engineering Quad F-Wing   F116   Enrolled:16 Limit:20
41892 B02 7:30 pm - 10:20 pm M   Engineering Quad F-Wing   F116   Enrolled:21 Limit:26
41893 B03 1:30 pm - 4:20 pm W   Engineering Quad F-Wing   F116   Enrolled:6 Limit:20
41894 B04 7:30 pm - 10:20 pm T   Engineering Quad F-Wing   F116   Enrolled:18 Limit:20
43341 B05 7:30 pm - 10:20 pm W        Enrolled:0 Limit:0 Canceled