EE445S Real-Time Digital Signal Processing Laboratory - Instructional Staff and Resources

Background of the Instructors

Brian L. Evans is Professor of Electrical and Computer Engineering at UT Austin. He is an IEEE Fellow ``for contributions to multicarrier communications and image display''. At the undergraduate level, he teaches Linear Systems and Signals and Real-Time Digital Signal Processing Lab. His BSEECS (1987) degree is from the Rose-Hulman Institute of Technology, and his MSEE (1988) and PhDEE (1993) degrees are from the Georgia Institute of Technology. He joined UT Austin in 1996. His first programming experience on digital signal processors was in Spring of 1988.

Teaching assistants (TAs) will run lab sections, grade lab reports, answer e-mail and hold office hours. TAs are Mr. Yunseong Cho and Mr. Dan Jacobellis. Mr. Cho researches in next-generation cellular communication systems, and Mr. Jacobellis researches acoustics, signal processing, pattern recognition, and parallel computing. An undergraduate grader will grade homework assignments.

Supplemental Information

Wireless Networking & Communications Seminars.

You can search Google scholar to find papers and patent applications on the topic.

Sometimes, an article found on Google scholar is only available through a specific database, e.g. IEEE Explore. You can access these databases from an on-campus computer. If you are off campus, then you can access these databases by first connecting to www.lib.utexas.edu, then selecting the database under Research Tools, and finally logging in using your UT EID.

INDUSTRIAL

$\bullet$ Circuit Cellar Magazine http://www.circuitcellar.com

$\bullet$ Electronic Design Magazine http://electronicdesign.com

$\bullet$ Embedded Systems Design Magazine http://www.eetimes.com/design/embedded

$\bullet$ Inside DSP http://www.bdti.com/insideDSP

$\bullet$ Sensors Magazine http://www.sensorsmag.com

$\bullet$ Sensors & Transducers Journal http://www.sensorsportal.com/HTML/DIGEST/New_Digest.htm

ACADEMIC

$\bullet$ IEEE Communications Magazine

$\bullet$ IEEE Computer Magazine

$\bullet$ EURASIP Journal on Advances in Signal Processing

$\bullet$ IEEE Signal Processing Magazine

$\bullet$ IEEE Transactions on Communications

$\bullet$ IEEE Transactions on Computers

$\bullet$ IEEE Transactions on Signal Processing

$\bullet$ Journal on Embedded Systems

$\bullet$ Proc. IEEE Real-Time Systems Symposium

$\bullet$ Proc. IEEE Workshop on Signal Processing Systems

$\bullet$ Proc. Int. Workshop on Code Generation for Embedded Processors

Other Web Resources (by Ms. Ankita Kaul)

MIT OpenCourseWare:

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-341-discrete-time-signal-processing-fall-2005/

*Advantages: Exceptional Lecture Notes! The readings are more in depth than lecture material, but still quite fascinating.

*Disadvantages: The homework assignments and solutions were Advantages for practice, but many problems outside the scope of the 445S class

UC-Berkeley DSP Class Page:

http://www-inst.eecs.berkeley.edu/~ee123/fa09/#resources

*Advantages: The articles and applets under 'Resources' are quite interesting and useful

*Disadvantages: Seemingly no actual Berkeley work actually on website, everything taken from other sources ...

Carnegie Mellon DSP Class Page:

http://www.ece.cmu.edu/~ee791/

*Advantages: Lectures had a lot of Matlab code for personal demonstration purposes

*Disadvantages: The lecture notes themselves are far more math-y than the context of 445S - still interesting though

Purdue DSP Class Lecture Notes Page:

http://cobweb.ecn.purdue.edu/~ipollak/ee438/FALL04/notes/notes.html

*Advantages: the notes are super simple and easy to understand

*Disadvantages: only covers first half of 445S coursework

Doing a search on Apple's iTunes U[niversity] for DSP provided numerous FREE lectures from MIT, UNSW, IIT, etc. for download as well.

Youtube Video Resources:

http://www.youtube.com/watch?v=7H4sJdyDztI&feature=related

Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)

*Advantages: visuals

*Disadvantages: ... a bit slow

http://www.youtube.com/watch?v=Fy9dJgGCWZI

Sampling Rate, Nyquist Frequency, and Aliasing

*Advantages: visualization of basic concepts

*Disadvantages: very short, would have liked more explanation

http://www.youtube.com/watch?v=RJrEaTJuX_A&feature=related

Simple Filters Lecture, IIT-Delhi Lecture

*Advantages: explanations of going to and from magnitude/phase

*Disadvantages: watch out for lecturer's accent

http://www.youtube.com/watch?v=Xl5bJgOkCGU&feature=channel

FIR Filter Design, IIT-Delhi Lecture

*Advantages: significantly deeper explanations of math than in class

*Disadvantages: lecturer's accent, video gets stuck about 30 seconds in

http://www.youtube.com/watch?v=vyNyx00DZBc

Digital Filter Design

*Advantages: information - especially on design TRADEOFFs

*Disadvantages: sound quality, better off just reading slides while he lectures