INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
3+2 Electrical and Electronic Engineering
2015-2016

SYLLABUS
Code Name Level Year Semester
EEE 538 Advanced Digital Signal Processing Graduate 1 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Area Elective 6 3 150 English

Instructor Assistant Coordinator
Jasna Hivziefendić, Assist. Prof. Dr. Jasmin Kevrić, Assist. Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
The aim of this course is to provide fundamental concepts in digital signals and systems, as an introduction to advance digital signal processing. Digital signal processing represents a base upon which various engineering systems are build, including communication systems, image processing, speech processing, consumer electronics, and data processing. This course aims at preparing the student for basic DSP activities, focusing mostly on digital filter design, providing a solid ground for upgrade and work on practical DSP devices, as well as general purpose hardware in role of DSP.

COURSE CONTENT
Week
Topic
  1. Sampling Theory
  2. Sampling Theory
  3. Discrete-Time S&S
  4. Discrete-Time S&S
  5. The Z-Transform
  6. The Z-Transform
  7. AR Modelling
  8. MIDTERM EXAM
  9. Fourier Analysis of Discrete-Time S&S
  10. Fourier Analysis of Discrete-Time S&S
  11. Design of Discrete Filters
  12. Design of Discrete Filters
  13. Applications
  14. Applications
  15. Wavelets

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Interactive Lectures
    • Practical Sessions
    • Excersises
    • Presentation
    • Problem solving
    • Assignments
    Description (%)
    Method Quantity Percentage (%)
    Midterm Exam(s)120
    Presentation115
    Term Paper125
    Final Exam140
    Total: 100
    Learning outcomes
    • AR modeling;
    • Understand mathematical descriptions and representations of discreet signals and systems and draw parallel with continuous time signals and systems;
    • Understand how to sample the continuous time signal at hand;
    • Familiarize with the idea of representing discrete time signals and LTI systems in the Z domain;
    • Familiarize with the idea of representing discrete time signals and LTI systems in the frequency domain;
    • Understand spectral representation of signals via DTFT, DFT, and FFT, and their properties and applications;
    • Time-Frequency Analysis
    • Ability to design digital filters;
    TEXTBOOK(S)
    • Luis F. Chaparro, “Signals and Systems using MATLAB”, Academic Press

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)14342
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)14 0
    Midterm Examination (1 week)122
    Final Examination(1 week)122
    Preparation for Midterm Examination13535
    Preparation for Final Examination13535
    Assignment / Homework/ Project13434
    Seminar / Presentation 0
    Total Workload: 150
    ECTS Credit (Total workload/25): 6