Course Description
Eastern Mediterranean University
Faculty of Engineering
Electrical and Electronics Engineering Department
EEE 420
Digital Signal Processing
Year and Semester:
Pre/Corequisite(s):
3, Spring/Fall
EEE226
Credit Hour:
Academic Term:
(4,1) 4
Fall 2004-2005
Catalog Description:
Overview of digital signals and systems. Frequency and time representation of sampling, decimation,
interpolation. Z-transform: Evaluation, region of convergence (ROC) and properties. Discrete time system
structures: tapped delay line and lattice structures. Fast Fourier Transform (FFT). Digital filter design:
Finite impulse response (FIR), infinite impulse response (IIR), windowing, Hilbert transform.
(Prerequisite: EEE 226)
Prerequisite by Topic:
Continuous-time and discrete-time signals and systems. Linear time-invariant (LTI) systems: system
properties, convolution. Fourier series: Representation of periodic continuous-time and discrete-time
signals and filtering. Continuous time Fourier transform and its properties. Representation of aperiodic
signals and the Discrete-time Fourier transform.
Instructor
Erhan A. Ince
erhan.ince@emu.edu.tr
Ext: 2778
Lab Assistant(s)
Ext:
Textbook:
Emmanuel C. Ifeachor, Barrie W. Jervis, " Digital Signal Processing: A practical Approach," Prentice Hall
, 2002.
References:
Sanjit K. Mitra, " Digital Signal Processing, A Computer-Based Approach", Mc Graw-Hill International
Ed., 1998.
James H. McClellan , C.S. Burres, A.V. Oppenheim, T.W. Parks, R.W. Schafer, H. W. Schuessler,
"Computer Based Experiments for Signal Processing Using Matlab 5", Prentice Hall, 1998.
Chi-Tsong Chen, "One-Dimensional Digital Signal Processing", Marcel Dekker Inc., 1979.
Eastern Mediterranean University, EEE
URL: http://faraday.ee.emu.edu.tr/eaince
Course Description
Course Objectives :
1) To teach the mathematics and system concepts upon which DSP is based
2) To present how to apply DSP techniques such as ;

Spectral Analysis

Digital Filtering

Selected Statistical Approaches
3) Introduce software tools such as MATLAB for computer-aided design
4) To enable students to start thinking about applications and problem solving .
Teaching Techniques:
White board, power point presentations, and demonstrations
Laboratory/Studio Works:
DSP laboratory printouts are available from EEE420web page.
GRADING POLICY
Homework
Lab
Midterm I
Midterm II (or Project)
Final Examination
10%
20%
20%
20%
30%
MAKEUP EXAM & NG POLICY:
Only one makeup examination will be given. The condition is that the student provides a report within the
next three working days explaining their reasons for failing to take the exam.
NG grade will be given to students who do not attend more than 80% of the course lecture and lab hours,
and miss the final exam.
Lab Exemption Policy:
If only one term has passed since the completion of the laboratory and the student has managed to collect a
70 or above then the student can be held exempt from the labs only with the consent of the instructor. The
lab assistant is not authorized to give exemption.
Eastern Mediterranean University, EEE
URL: http://faraday.ee.emu.edu.tr/eaince