EE381K Multidimensional Digital Signal Processing - FAQ

What are the pre-requisites?

Essentially, you would need to have a one-semester graduate-level class in digital signal processing at the level of Discrete-Time Signal Processing by Alan Oppenheim and Ronald Schafer. That class covers the essential theory and algorithms for one-dimensional digital signal processing.

What does this course cover?

The first half of the course covers theory and algorithms of multidimensional signals, systems, and transforms. The second half covers a series of applications of multidimensional systems in the fields of image, video, and seismic processing. The course covers the following topics:

multidimensional signals and systems, multidimensional discrete Fourier analysis, discrete cosine transform, two-dimensional FIR filters, multidimensional recursive systems, two-dimensional IIR filters, beamforming, seismic processing, tomography, multidimensional multirate systems and filter banks, image halftoning, video processing

What's the trick for doing well in the course?

Do well on the project.

In the course, 50% of the grade is based on the project. The project will consist of two equal parts: a literature survey due just before the middle of the semester and a final report due on the last class day of the semester. I have several ideas for projects on the course Web pages, and I recommend (but not require) that you work in teams of two or three. Both reports will be no more than 8 pages long of double-spaced, 12pt font text.

The key to doing well on the project is to do a project related to any research, development, or design work you are doing at UT or at your company. Other keys include getting started as soon as possible, finding a fun topic, and recruiting a good team.

What's the benefit of working so hard on the project?

A side benefit to doing well on the project is that you might produce work that will be published. I set the length of the project reports to match the length required for papers for IEEE signal and image processing conferences and for correspondence items (short journal papers) for IEEE journals. To date, 13 of the 51 projects (25%) completed in this course have been published in IEEE conferences and journals.

Updated 01/13/08.