Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DIGITAL SIGNAL PROCESSING | EEE4210344 | Spring Semester | 3+0 | 3 | 6 |
| Course Program | Cuma 10:00-10:45 Cuma 11:00-11:45 Cuma 12:00-12:45 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Name of Lecturer(s) | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Assistant(s) | None. |
| 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. |
| Course 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. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Applies the basics of LTI systems and transformation approaches in analyzing LTI systems. | 21, 9 | A, E, F, G |
| 2. Samples lowpass and bandpass signals. | 21, 9 | A, E, F, G |
| 3. Designs LTI IIR and FIR filters. | 21, 9 | A, E, F, G |
| 4. Uses DFT and FFT techniques effectively. | 21, 9 | A, E, F, G |
| 5. Analyzes discrete stochastic systems. | 21, 9 | A, E, F, G |
| Teaching Methods: | 21: Simulation Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Discrete-Time Signals and Systems. | Notes and Oppenheim Chapters 1 & 2 |
| 2 | Discrete LTI Systems | Notes and Oppenheim Chapter 2 |
| 3 | Z-Transform | Notes and Oppenheim Chapter 3 |
| 4 | Sampling of Continuous-Time Signals | Notes and Oppenheim Chap. 4 |
| 5 | Multi-rate signal Processing and Introduction to Discrete Random Process | Notes and Oppenheim Chap. 4 |
| 6 | Transform Analysis of LTI Systems – Part A | Notes and Oppenheim Chap. 5 |
| 7 | Transform Analysis of LTI Systems – Part B | Notes and Oppenheim Chap. 5 |
| 8 | Midterm overview | Notes till Week 7 and textbook chapters 1-5 |
| 9 | Structure for Discrete-Time Systems : Block Diagrams and IIR Systems | Notes and Oppenheim Chap. 6 |
| 10 | Structure for Discrete-Time Systems : FIR Systems and Quantization Effect | Notes and Oppenheim Chap. 6 |
| 11 | Digital Filter Design Techniques – Part A | Notes and Oppenheim Chap. 7 |
| 12 | Digital Filter Design Techniques – Part B | Notes and Oppenheim Chap. 7 |
| 13 | The Discrete Fourier Transform – Part A | Notes and Oppenheim Chap. 8 |
| 14 | The Discrete Fourier Transform – Part B | Notes and Oppenheim Chap. 8 |
| 15 | Discrete Stochastic Processes and Systems | Notes and Vetterli Chap. 3 |
| Resources |
| 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 |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | An ability to apply knowledge of mathematics, science, and engineering | X | |||||
| 2 | An ability to identify, formulate, and solve engineering problems | X | |||||
| 3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | X | |||||
| 4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
| 5 | An ability to design and conduct experiments, as well as to analyze and interpret data | X | |||||
| 6 | An ability to function on multidisciplinary teams | X | |||||
| 7 | An ability to communicate effectively | X | |||||
| 8 | A recognition of the need for, and an ability to engage in life-long learning | X | |||||
| 9 | An understanding of professional and ethical responsibility | ||||||
| 10 | A knowledge of contemporary issues | X | |||||
| 11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| 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 | |||
| Total Workload(Hour) | 165 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(165/30) | 6 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DIGITAL SIGNAL PROCESSING | EEE4210344 | Spring Semester | 3+0 | 3 | 6 |
| Course Program | Cuma 10:00-10:45 Cuma 11:00-11:45 Cuma 12:00-12:45 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Name of Lecturer(s) | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Assistant(s) | None. |
| 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. |
| Course 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. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Applies the basics of LTI systems and transformation approaches in analyzing LTI systems. | 21, 9 | A, E, F, G |
| 2. Samples lowpass and bandpass signals. | 21, 9 | A, E, F, G |
| 3. Designs LTI IIR and FIR filters. | 21, 9 | A, E, F, G |
| 4. Uses DFT and FFT techniques effectively. | 21, 9 | A, E, F, G |
| 5. Analyzes discrete stochastic systems. | 21, 9 | A, E, F, G |
| Teaching Methods: | 21: Simulation Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Discrete-Time Signals and Systems. | Notes and Oppenheim Chapters 1 & 2 |
| 2 | Discrete LTI Systems | Notes and Oppenheim Chapter 2 |
| 3 | Z-Transform | Notes and Oppenheim Chapter 3 |
| 4 | Sampling of Continuous-Time Signals | Notes and Oppenheim Chap. 4 |
| 5 | Multi-rate signal Processing and Introduction to Discrete Random Process | Notes and Oppenheim Chap. 4 |
| 6 | Transform Analysis of LTI Systems – Part A | Notes and Oppenheim Chap. 5 |
| 7 | Transform Analysis of LTI Systems – Part B | Notes and Oppenheim Chap. 5 |
| 8 | Midterm overview | Notes till Week 7 and textbook chapters 1-5 |
| 9 | Structure for Discrete-Time Systems : Block Diagrams and IIR Systems | Notes and Oppenheim Chap. 6 |
| 10 | Structure for Discrete-Time Systems : FIR Systems and Quantization Effect | Notes and Oppenheim Chap. 6 |
| 11 | Digital Filter Design Techniques – Part A | Notes and Oppenheim Chap. 7 |
| 12 | Digital Filter Design Techniques – Part B | Notes and Oppenheim Chap. 7 |
| 13 | The Discrete Fourier Transform – Part A | Notes and Oppenheim Chap. 8 |
| 14 | The Discrete Fourier Transform – Part B | Notes and Oppenheim Chap. 8 |
| 15 | Discrete Stochastic Processes and Systems | Notes and Vetterli Chap. 3 |
| Resources |
| 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 |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | An ability to apply knowledge of mathematics, science, and engineering | X | |||||
| 2 | An ability to identify, formulate, and solve engineering problems | X | |||||
| 3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | X | |||||
| 4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
| 5 | An ability to design and conduct experiments, as well as to analyze and interpret data | X | |||||
| 6 | An ability to function on multidisciplinary teams | X | |||||
| 7 | An ability to communicate effectively | X | |||||
| 8 | A recognition of the need for, and an ability to engage in life-long learning | X | |||||
| 9 | An understanding of professional and ethical responsibility | ||||||
| 10 | A knowledge of contemporary issues | X | |||||
| 11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |