EE 313: Linear Signals and Systems

Last Taught: Fall 2006


Signal processing is rich with tools that have applications in a broad class of problems including communications, controls, image compression, sonar, radar, array processing, and digital video. The theory is both elegant and beautiful. This course will be your first introduction to the concepts of signal processing, especially processing signals with linear systems. Although this course will often seem abstract, e.g. it consists mainly of mathematical models engineers use when designing systems, the tools you learn in this course will have practical application to many areas of engineering. Most directly the concepts can be applied to everyday problems like audio signal processing, e.g. processing speech and music, and image processing, e.g. photoshoping your favorite picture. You will find these show up again and again in your further education, especially if you pursue a specialization in communications, signal processing, systems, control theory, circuit design, and biomedical engineering among others By the end of this course you should be able to:

To help with the material, I have prepared a list of specific learning objectives by chapter is available as well as some general tips for the course. Even if you are not taking my section, this review may be useful for you.

The Fall 2006 class met MW 3:30-5:00PM in ENS 126.


Fall 2006

Course Information

(check electronic course site for updates)

Syllabus 

Lecture Outline  

Electronic Course Site

The current offering of the class is available in Blackboard. It includes a weekly outline, lecture notes, project details, homework assignments, discussion groups, and chat rooms.

Fall 2006 course web site

Signal Processing at UT Austin

Signal Processing Links

Demo Links

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