This course can be taken completely online by a student at UT Austin
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Download the course reader, which includes all lecture slides, all handouts, and recent midterm exams.
In this 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. Dan Jacobellis. Lab sections will meet virtually via Zoom at the following times: Mondays 6:30pm-9:30pm (Cho), Tuesdays 6:30pm-9:30pm (Jacobellis) and Wednesdays 6:30pm-9:30pm (Cho) and Fridays 1:00pm-4:00pm (Jacobellis). Students work in teams of two in the lab. A maximum of 12 students are in each lab section. The TAs will also hold weekly office hours by Zoom on Wednesdays 4:00-6:00pm (Jacobellis), Thursdays 6:30pm-9:30pm (Cho) and Fridays 5:00pm-6:30pm (Jacobellis).
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 . These recordings along with the notes that you have taken in lecture would be helpful in reviewing lecture material.
Student advice to get the most out of this course:
Last updated 02/08/21. Send comments to email@example.com