Also available in postscript

EEL 4756 Signal and Image Processing

Spring 1997

Instructor: Paul Flikkema
Hours: TuTh 9:30--11:00 and by appointment
Office: ENB 372A
Tel: 974-3940
Email: flikkema@sunburn.eng.usf.edu
WWW: http://www.eng.usf.edu/EE/people/flikkema.html
Brief Description/Objectives: In this course you will become familiar with the techniques used in modern signal and image processing systems. In addition to studying traditional digital signal processing (DSP) methods, we will explore image processing. The goal will be for you to understand the principles of signal, image, and multimedia systems---current and future.

This will be a lecture/lab course, so you will have the opportunity to explore DSP concepts while getting hands-on experience with MATLAB, one of today's most popular high-level DSP languages, and with the Texas Instruments TMS320C30 DSP chip.

Prerequisites: EEL 4102 or consent of instructor

Lecture: MW 1:00 -- 1:50

Lab: R 1:00--2:50 or F 3:00--4:50

Course Materials: Introduction to Signal Processing, 2nd Ed., S. J. Orfanidis, Prentice-Hall, 1996, ISBN 0-013-209172-0. Other reference materials will be provided as needed during the semester.

Requirements: Lab reports will account for 40% of your final grade. There will be three short exams during the course; only two of these will be counted (i.e., your lowest score will be discarded) for the final grade (each worth 10% of the final grade). There will be no make-ups for these exams. There will also be a project worth 30% (see below). The remaining portion (10%) will be from quizzes (announced) and/or homework assignments.

The exams will be closed book and closed notes. However, you may use a reference sheet (one 8.5 x 11 page, both sides, if desired) to minimize the need for memorization. This sheet must be handed in with the exam.

The exams will evaluate your understanding of the concepts needed to solve examples in the text and the assigned homework problems. Therefore your chances of success in the class will be greatly improved if you work and understand the homework and example problems.

Instead of a final exam, there will be a team project. I can recommend a project, or you can make a proposal; the key point is that we will agree on a scope for your project. Your team will be required to submit a short (one paragraph at most) written proposal to me by Spring Break. Your project will be graded based on a final lab report in which you describe your effort and conclusions. You are also required to submit (by floppy disk or email) your code and supporting computer files for verification.

Note: Your report will be due the beginning of the last class meeting. Late Policy: A late report will be subject to a penalty of one letter grade for each 24 hours it is submitted after the deadline. In other words, your grade will drop by one letter grade if it is not turned in by the beginning of the announced class, and will drop another letter grade 24 hours later, etc.

Course Topics
Introduction
Digital-to-analog and analog-to-digital conversion
Discrete-time signals and systems
Frequency-domain representations
The z-transform
Discrete-time systems in the frequency domain
Digital filtering
Transform methods and fast algorithms
Introduction to programmable DSP chips
Image processing: video display and color images (class notes)