EE639 Advanced Topics in Signal Processing and Communication

Spring Semester 2002

Instructor: Dr. K.D. Donohue

Phone:  859-257-8042

Email: donohue@engr.uky.edu

Office: 453 Anderson Hall

Office Hours: Tue. & Thr.  9:30AM -11:30AM

WebPage: http://www.engr.uky.edu/~donohue/

 

Expected outcomes of student learning:

1.      Ability to read and critically evaluate research in selected areas of communications and signal processing.

2.      Ability to mathematically model communication and signal processing systems.

3.      Ability to design a Monte Carlo simulation for performance analysis of communications and signal processing systems.

4.      Ability to implement signal processing algorithms with modern hardware.

 

Text:

DSP Applications Using C and the TMS320C6x DSK, by Rulph Chassaing, John Wiley & Sons, Inc., NY,2002, ISBN: 0-471-20754-3 http://www.wiley.com/Corporate/Website/Objects/Products/0,9049,2053586,00.html

Optional Texst:

 

Your grade will be based on:

 

2 Homework Assignments

10%

1 Implementation Project, (Oral presentation and demonstration, hand in documented code)

45%

1 Written Report on Literature Reading

45%

 

The letter grade assignment is based on the following scale: from 100 to 90 pts. => A, from 89 to 80 pts. => B, from 79 to 70 pts => C, from 69 to 0 pts. => E.

The homework assignment will consist of doing a literature review and a computer simulation.  These assignments are especially intended to help the student prepare for the written report, which is the subject of the written report on literature reading.

The implementation project will involve designing a simple DSP system using the TMS320C6711 processor on real time video (TMS320C6000 DSP Imaging Developer's Kit (IDK)).

 

 

Tentative Course Schedule EE639

Unit

Dates

Text Sections

Topics

 

0

1-10

 

Introduction – Generalized Communications and Signal Processing Problem

 

1

1-15,17

Lessons 3 & 4 in Mendel

Least Squares Estimation

Start literature Review in related area of interest

2

1-22, 24

Lessons 6 & 7
Mendel

Estimator Properties

 

3

1-29, 31

Class notes

Monte Carlo Simulation

Hand in a short report with bibliography where significant research effort is being spent in area of interest

4

2-5,7

Class notes

Matched Filter, Wiener Filter

 

5

2-12,14

Class notes

DSP Implementation

Paper Selection Should be complete

6

2-19,21

Chapter 2, 3, 4
Vidakovic

Hilbert Spaces, Wavelets

Monte Carlo Practice Experiment Due

7

2-26,28

 

Overview of papers selected for analysis and review

 

8

3-5,7

 

Overview of papers selected for analysis and review

 

9

3-19,21

 

DSP Implementation

 

10

3-26,28

 

DSP Implementation

 

11

4-2,4

Class Notes

Higher Order Statistics

Written Report Due

12

4-9,11

Class Notes

Coding

 

13

4-16,18

 

Oral Presentation/Demos

 

14

4-23,25

 

Oral Presentations/Demos

 

15

5-3

 

 

Hand in ratings on the presentations of fellow classmates