INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Electrical and Electronic Engineering
2013-2014

SYLLABUS
Code Name Level Year Semester
EEE 334 Digital Signal Processing Undergraduate 3 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Area Elective 5 2 + 2 47 English

Instructor Assistant Coordinator
Harun Šiljak, Assist. Prof. Dr. Harun Šiljak, Assist. Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
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. Discrete-time signals and systems in time-domain: Sequences, sampling, LTI systems
  2. Discrete-time signals and systems in time-domain: Correlation, random signals
  3. Discrete-time signals in the transform-domain: DTFT and DFT
  4. Discrete-time signals in the transform-domain: z-transform
  5. Digital processing of continuous-time signals: sampling and analog filters
  6. Digital processing of continuous-time signals: sample and hold, ADC, DAC, reconstruction
  7. Digital filter structures: block diagrams, basic IIR and FIR filter structures
  8. Digital filter structures: advanced structures and computational complexity
  9. Digital filter design: IIR filters
  10. Digital filter design: FIR filters
  11. Digital filter design: advanced topics
  12. Multirate DSP
  13. Applications of Digital Signal Processing: Spectral analysis
  14. Applications of Digital Signal Processing: ECG, EEG.

LABORATORY/PRACTICE PLAN
Week
Topic
  1. Discrete-time signals and systems in time-domain: Correlation, random signals
  2. Discrete-time signals in the transform-domain: z-transform
  3. Discrete-time signals in the transform-domain: z-transform
  4. Digital processing of continuous-time signals: sample and hold, ADC, DAC, reconstruction
  5. Digital filter structures: advanced structures and computational complexity
  6. Digital filter structures: advanced structures and computational complexity
  7. Digital filter design: FIR filters
  8. Multirate DSP
  9. Applications of Digital Signal Processing: ECG, EEG.

TEACHING/ASSESSMENT
Description
  • Lectures
  • Practical Sessions
  • Excersises
  • Assignments
Description (%)
Method Quantity Percentage (%)
Midterm Exam(s)130
Laboratory130
Final Exam140
Total: 100
Learning outcomes
    TEXTBOOK(S)
    • 1. S. K. Mitra, Digital signal processing: A Computer-based Approach, McGraw-Hill, 2nd ed., 2001.
    • 2. E. C. Ifeachor, B. W. Jervis, Digital signal processing: A practical approach, Addison-Wesley, 1st ed., 1993
    • 3. A. V. Oppenheim, R. W. Schafer and J. R. Buck, Discrete-time signal processing, Prentice Hall, 2nd ed., 1999.

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)414
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)25125
    Midterm Examination (1 week)8216
    Final Examination(1 week)122
    Preparation for Midterm Examination 0
    Preparation for Final Examination50
    Total Workload: 47
    ECTS Credit (Total workload/25): 2