ECE735 - Spring 2005
Professor Yariv Ephraim
STII Room 221
Place: Robinson Hall A123
Final Exam: Take home exam to be assigned on Wed 4 May and due on Wed 11 May by
Office Hours: Tuesday
Other time by appointment
To contact me please use email@example.com
Data compression is a rapidly growing field with numerous applications. It is fundamental to every aspect of digital signal processing since signals must be quantized before they can be stored in or transmitted over digital media. In today's information technology, speech, image and video signals are quantized when presented over the World Wide Web. Speech and audio coding is essential for cellular communication where bandwidth is limited. Data compression is also receiving extensive attention in storing and analyzing medical images such as X-ray images and tomography. The purpose of this course is to provide a solid theoretical and practical background in data compression and its application. Some concepts from information theory will be reviewed, but prior knowledge is not assumed.
· Scalar quantization (weeks 2)
A. Gersho and R. M. Gray, Vector
Quantization and Signal Compression. Kluwer Academic Publishers,
1. T. M. Cover and
J. A. Thomas, Elements of Information Theory. John Wiley&Sons,
3. Papers from current literature
ECE-528 or instructor permission
We will communicate via email. Please use firstname.lastname@example.org. Announcements, assignments and solutions will be emailed to you. I will use your email addresses which are on file at the GMU Registrar. If you wish to have your course material delivered to another email address, you may include a .forward command in your GMU directory.
There will be 3-5 homework assignments (10 %)
There will be a mid term and a final exam (each 45%). Both are take-home exams.