EE445S Real-Time Digital Signal Processing Laboratory

Prof. Brian L. Evans, The University of Texas at Austin, Fall 2018, MWF 11:00am-12:00pm, ECJ 1.308

Office Hours: MWF 10:00-11:00am EER 6.882

General information: Overview Description Textbooks Prerequisites Related courses
Course resources: Lecture Handouts Homework Laboratory Reader
Other information: Alumni Canvas LabVIEW demo Web resources Thanks
CommSys@UT: Faculty Undergrad study Graduate study Research

Download the course reader, which includes all lecture slides, all handouts, and recent midterm exams.

In the Real-Time Digital Signal Processing Laboratory course, students derive algorithms from signal processing theory and map the algorithms to embedded software. They learn design flows from application theory to algorithm design to simulation in MATLAB and embedded software implementation in C. At various stages in the design flow, students explore and quantify design tradeoffs in signal quality vs. implementation for various algorithms. Applications include audio, image processing, biomedical instrumentation and communication systems.

The teaching assistants are Mr. Yunseong Cho and Mr. Sam Kanawati. Lab sections will meet in EER 1.810 at the following times: Mondays 6:30-9:30pm (Kanawati), Tuesdays 6:30-9:30pm (Cho), Wednesdays 6:30-9:30pm (Kanawati) and Fridays 1:00-4:00pm (Cho). The TAs will also hold weekly office hours on Wednesdays 4:30-6:00pm (Cho), Thursdays 3:30-6:30pm (Kanawati) and Thursdays 6:30-8:00pm (Cho). Students work in teams of two in the lab. A maximum of 12 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.

The video recordings of lectures from spring 2014 are available on YouTube. These recordings along with the notes that you have taken in lecture would be helpful in reviewing lecture material.


Last updated 08/20/18. Send comments to (Mailbox)