EE445S Real-Time Digital Signal Processing Laboratory

Prof. Brian L. Evans, The University of Texas at Austin, Fall 2014, MWF 11:00am-12:00pm, UTC 1.130

Office Hours: MW 12:00-12:30pm in UTC 1.130 and WF 9:30-10:30am in UTC 1.130

The spring 2014 version of this course is available as open courseware. For example, video recordings of lectures have been posted on YouTube.

This course provides theory, design and practical insights into waveform generation and filtering, system training and calibration, and communication transmission and reception. In particular, this course emphasizes tradeoffs in signal quality vs. implementation complexity in signal processing algorithm design. Applications also include audio, biomedical and imaging systems. The course is accessible by first-semester third-year undergraduates.

In the course, students map signal processing theory to signal processing algorithms to desktop simulation in Matlab to embedded real-time software in C. The embedded target is a Texas Instruments TMS320C6748 floating-point dual-core programmable digital signal processing board. The C6000 family is used in cellular basestations, professional audio systems, and video conferencing systems. Students test their embedded implementations using rack equipment and Texas Instruments Code Composer Studio software.

Course introduction: Overview Prerequisites Textbooks Related courses As elective
Course resources: Reader Lecture/laboratory Lecture Videos Handouts Homework
Other course information: Alumni Blackboard site LabVIEW demo Web resources Thanks
CommSys@UT: Faculty Undergrad study Graduate study Research

The course reader includes all of the lecture slides, handouts, and recent midterm exams.

The teaching assistants are Ms. Debarati Kundu and Mr. Shreyas Rao. Lab sections will meet in ECJ 1.318 at the following times: Mondays 6:30-9:30pm (Kundu), Tuesdays 6:30-9:30pm (Kundu), Wednesdays 6:30-9:30pm (Rao) and Fridays 1:00-4:00pm (Rao). The TAs will also hold office hours in ACA 111 on Tuesdays 5:00-6:30pm (Rao), Thursdays 3:30-6:30pm (Kundu) and Thursdays 6:30-8:00pm (Rao). Students work in teams of two in the lab. A maximum of 14 students are in each lab section.

In the graduate curriculum, this course may be applied to an MSEE degree provided that it is taken for letter grade and a grade of at least B- is received. Up to two undergraduate courses may be applied toward an MSEE degree, subject to the approval of the curriculum track academic advisor. Undergraduate courses do not apply to the coursework requirements for a PhDEE degree.


Last updated 11/09/14. Send comments to (Mailbox)