Course Description

Eastern Mediterranean University

Faculty of Engineering

Electrical and Electronics Engineering Department

EEE 420

Digital Signal Processing

Year and Semester:3, Spring/FallCredit Hour:(4,1) 4

Pre/Corequisite(s):EEE226 Academic Term: 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
/
Lab Assistant(s)
Erhan A. Ince

Ext: 2778 / 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.

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

Homework10%

Lab20%

Midterm I20%

Midterm II (or Project)20%

Final Examination30%

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 attendmore 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 isnot authorized to give exemption.

Eastern Mediterranean University, EEE

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