1. Course Details Course Name: Digital Signal Processing
Soutenance de thèse vendredi 24 novembre 2006, Lorient
Course Details
Course Name: Digital Signal Processing
Course Code: EE3240
Course Credits: 3(3,1,0)
Pre-requisite: EE3010
Instructor:
Dr. Medien Zeghid
Eng Mohamed El Ansi

2. Assesment Method Quantity (%) Quiz - 05 Homework - 05
Soutenance de thèse vendredi 24 novembre 2006, Lorient
Assesment
Method Quantity (%)
Quiz
Homework
Midterm Exam(s)
Project
Final Exam

3. Course Outline 1. Introduction.
Mathematical Representation of Signals. Mathematical Representation of Systems.
2. Signals and Signal Processing
Characterization and Classification of Signals, Typical Signal Processing Operations , Examples of Typical Signals, Typical Signal Processing Applications, Why Digital Signal Processing?.
3. Discrete-Time Signals and Systems
Discrete-Time Signals, Typical Sequences and Sequence Representation, Discrete-Time Systems, Time-Domain Characterization of LTI, Correlation of Signal
4. Digital Processing of Continuous Time Signals
Sampling of Continuous-Time Signals, Sampling of Bandpass Signals, Analog Lowpass Filter Design, Anti-Aliasing Filter Design, Reconstruction Filter Design
5. Finite Length Discrete Transforms
The Discrete Fourier Transform, Relation Between the Fourier Transform and the DFT, and Their Inverses, DFT Symmetry Relations, Discrete Fourier Transform Theorems
6. z-Transform
Definition and Properties, Rational z-Transforms, Region of Convergence of a Rational z-Transform , The Inverse z-Transform, z-Transform Properties, The Transfer Function

4. Course Outline 7. LTI Discrete-Time Systems in the Transform Domain
Transfer Function Classification Based on Magnitude Characteristics, Transfer Function Classification Based on Phase Characteristics , Types of linear-Phase Transfer Functions, Inverse Systems
8. Digital Filter Structures and Design
Block Diagram Representation, Basic FIR Digital Filter Structures, Basic IIR Digital Filter Structures, FIR Filter Design, IIR Filter Design
9. Implement, apply and evaluate simple DSP applications in MATLAB.

5. COURSE OBJECTIVE Students will be able to:
Understand mathematical descriptions of digital signal processing algorithms
Express those algorithms as computer implementations (MATLAB)

6. Published by Mc Graw Hill, Isbn:
Main course books
Digital Signal Processing: A Computer Based Approach, foruth edition
By Sanjit K. Mitra
Published by Mc Graw Hill, Isbn:

7. Main course books Signal Processing First
by James H McClellan, Ronald W. Schaffer and Mark A. Yoder.
Published by Prentice Hall.
Isbn:

8. Some Recommended Books
Understanding Digital Signal Processing by Richard G. Lyons.
Theory and Application of Digital Signal Processing by Rabiner and Gold. A comprehensive, industrial-strength DSP reference book.
Digital Signal Processing by Alan V. Oppenheim and Ronald W. Schafer. Another industrial-strength reference.
Digital Signal Processing by William D. Stanley.

9. Rules of the Conduct No eating /drinking in class
except water
Cell phones must be kept outside of class or switched-off during class
If your cell-phone rings during class or you use it in any way, you will be asked to leave and counted as unexcused absent.
No web surfing and/or unrelated use of computers,
when computers are used in class or lab.

10. Rules of the Conduct
You are responsible for checking the class web page often for announcements.
Academic dishonesty and cheating will not be tolerated and will be dealt with according to university rules and regulations
Presenting any work, or a portion thereof, that does not belong to you is considered academic dishonesty.
University rules and regulations:

11. The requirement for attendance is 75%.
Attendance Policy
The requirement for attendance is 75%.
Hospital reports are not accepted to fulfill the requirement for attendance less than 50%
The students, who fail to fulfill the attendance requirement, will be excluded from the final exams and the grade of F will be given.
Students with attendance more than 75% are eligible for participation degree