Course
BME4210344
DIGITAL SIGNAL PROCESSING
Biomedical Engineering
- LECTURE
- 3
- LAB
- 0
- CREDITS
- 3
- ECTS
- 6
REQUIRES
REQUIRED BY
None
TAUGHT IN
AIM
This is a fourth-year undergraduate course on the fundamentals of discrete-time signal processing (DSP). This course provides the students with a solid background in theory and design of DSP systems. Different transformation techniques, conversion from analog to digital and vice versa, digital filter structures, and their application to real systems are covered. The theory is realized via Matlab simulations.
CONTENT
This course contains; Introduction to Discrete-Time Signals and Systems. ,Discrete LTI Systems,Z-Transform,Sampling of Continuous-Time Signals,Multi-rate signal Processing and Introduction to Discrete Random Process,Transform Analysis of LTI Systems – Part A,Transform Analysis of LTI Systems – Part B,Midterm overview,Structure for Discrete-Time Systems : Block Diagrams and IIR Systems,Structure for Discrete-Time Systems : FIR Systems and Quantization Effect,Digital Filter Design Techniques – Part A,Digital Filter Design Techniques – Part B,The Discrete Fourier Transform – Part A,The Discrete Fourier Transform – Part B,Discrete Stochastic Processes and Systems.
LEARNING OUTCOMES
- 1
1. Applies the basics of LTI systems and transformation approaches in analyzing LTI systems.
Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz
- 2
2. Samples lowpass and bandpass signals.
Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz
- 3
3. Designs LTI IIR and FIR filters.
Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz
- 4
4. Uses DFT and FFT techniques effectively.
Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz
- 5
5. Analyzes discrete stochastic systems.
Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz
WEEKLY PLAN
- WEEK 1
Introduction to Discrete-Time Signals and Systems.
Preparation: Notes and Oppenheim Chapters 1 & 2
- WEEK 2
Discrete LTI Systems
Preparation: Notes and Oppenheim Chapter 2
- WEEK 3
Z-Transform
Preparation: Notes and Oppenheim Chapter 3
- WEEK 4
Sampling of Continuous-Time Signals
Preparation: Notes and Oppenheim Chap. 4
- WEEK 5
Multi-rate signal Processing and Introduction to Discrete Random Process
Preparation: Notes and Oppenheim Chap. 4
- WEEK 6
Transform Analysis of LTI Systems – Part A
Preparation: Notes and Oppenheim Chap. 5
- WEEK 7
Transform Analysis of LTI Systems – Part B
Preparation: Notes and Oppenheim Chap. 5
- WEEK 8
Midterm overview
Preparation: Notes till Week 7 and textbook chapters 1-5
- WEEK 9
Structure for Discrete-Time Systems : Block Diagrams and IIR Systems
Preparation: Notes and Oppenheim Chap. 6
- WEEK 10
Structure for Discrete-Time Systems : FIR Systems and Quantization Effect
Preparation: Notes and Oppenheim Chap. 6
- WEEK 11
Digital Filter Design Techniques – Part A
Preparation: Notes and Oppenheim Chap. 7
- WEEK 12
Digital Filter Design Techniques – Part B
Preparation: Notes and Oppenheim Chap. 7
- WEEK 13
The Discrete Fourier Transform – Part A
Preparation: Notes and Oppenheim Chap. 8
- WEEK 14
The Discrete Fourier Transform – Part B
Preparation: Notes and Oppenheim Chap. 8
- WEEK 15
Discrete Stochastic Processes and Systems
Preparation: Notes and Vetterli Chap. 3
ASSESSMENT
- Rate of Midterm Exam to Success30%
- Rate of Final Exam to Success70%
WORKLOAD
| ACTIVITY | COUNT | HOURS | TOTAL |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Guided Problem Solving | 0 | 0 | 0 |
| Resolution of Homework Problems and Submission as a Report | 4 | 18 | 72 |
| Term Project | 0 | 0 | 0 |
| Presentation of Project / Seminar | 4 | 1 | 4 |
| Quiz | 5 | 1 | 5 |
| Midterm Exam | 1 | 18 | 18 |
| General Exam | 1 | 24 | 24 |
| Performance Task, Maintenance Plan | 0 | 0 | 0 |
READING
- Discrete-Time Signal Processing by Alan V. Oppenheim and Ronald W. Schafer Prentice Hall (Pearson) ISBN 978013 1988422
- Foundations of Signal Processing, M. Vetterli, M. Kovacevic and V. Goyal , 2013, Cambridge University Press
TEACHING STAFF
- Prof.Dr. Mehmet Kemal ÖZDEMİRCOORDINATOR
- Prof.Dr. Mehmet Kemal ÖZDEMİR
- Prof.Dr. İlteriş DEMİRKIRAN