ECTS - Digital Signal Processing
Digital Signal Processing (EE306) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Digital Signal Processing | EE306 | Area Elective | 3 | 2 | 0 | 4 | 6 |
| Pre-requisite Course(s) |
|---|
| EE303 |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice. |
| Course Lecturer(s) |
|
| Course Objectives | •Understand how analog signals are represented by their discrete-time samples, and in what ways digital filtering is equivalent to analog filtering. •Master the representation of discrete-time signals in the frequency domain, using the notions of z-transform, discrete-time Fourier transform and discrete Fourier transform (DFT). •Learn the basic forms of FIR and IIR filters, and how to design filters with desired frequency responses. •Understand the implementation of the DFT in terms of the FFT, as well as some of its applications (computation of convolution sums, spectral analysis) |
| Course Learning Outcomes |
The students who succeeded in this course;
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| Course Content | Signals and signal processing, discrete-time signals and systems, discrete-time Fourier transform (DTFT) and computation of the DFT, the z-Transform, sampling of continuous-time signals, transform analysis of linear time-invariant (LTI) systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform, app |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Discrete-Time (DT) Signals and Systems •DT signals: Sequences •DT systems: Memoryless, Linear, Time-Invariant, Causal, and Stable Systems •Frequency-Domain Representation of DT Signals and Systems | Glance this week’s topics from the lecture |
| 2 | DT Signals and Systems | Review last week and glance this week’s topics from the lecture |
| 3 | The z-Transform •Properties of the Region of Convergence (ROC) for the z-transform •The Inverse z-transform •z-transform Properties | Glance this week’s topics from the lecture |
| 4 | The z-Transform | Review last week and glance this week’s topics from the lecture Glance this week’s topics from the lecture |
| 5 | Transform Analysis of Linear Time-Invariant (LTI) Systems •The Frequency Response of LTI Systems: Ideal frequency-selective filters, Phase Distortion and Delay •System Functions: Stability, Causality, Inverse Systems, Impulse Response for Rational System Functions •Relationship between Magnitude and Phase •All-Pass Systems •Minimum-Phase Systems •Linear Systems with Generalized Linear Phase | Glance this week’s topics from the lecture |
| 6 | Transform Analysis of LTI Systems | Review last week and glance this week’s topics from the lecture |
| 7 | Structures for Discrete-Time Systems •Block Diagram Representation of Linear Constant-Coefficient Difference Equations •Signal Flow Graph •Basic Structures for IIR Systems: Direct, Cascade, and Parallel Forms | Glance this week’s topics from the lecture |
| 8 | Structures for Discrete-Time Systems •Basic Network Structures for FIR Systems | Review last week and glance this week’s topics from the lecture |
| 9 | Filter Design Techniques •Prototype Analog Filters: Butterworth, Chebyshev, and Elliptic Filters •Design of DT IIR Filters from CT Filters: Impulse Invariance method, Bilinear Transformations | Glance this week’s topics from the lecture |
| 10 | Filter Design Techniques •Design of FIR Filters by Windowing | Review last week and glance this week’s topics from the lecture |
| 11 | The Discrete Fourier Transform (DFT) •Relationship between DFT and Discrete Cosine Transform (DCT) | Glance this week’s topics from the lecture |
| 12 | The DFT | Review last week and glance this week’s topics from the lecture |
| 13 | Applications to Speech and Image Processing | Glance this week’s topics from the lecture |
| 14 | Applications to Speech and Image Processing | Glance this week’s topics from the lecture |
| 15 | Final examination period | Review topics |
| 16 | Final examination period | Review topics |
Sources
| Course Book | 1. Discrete-Time Signal Processing, Second Edition, Alan V. Oppenheim, Ronald W. Schafer and John R. Buck, Prentice Hall, 1999 |
|---|---|
| Other Sources | 2. Digital Signal Processing , A Computer Based Approach, Sanjit. K. Mitra, McGraw-Hill, 1998 |
| 3. Digital Signal Processing, Algorithms and Applications, John G. Proakis and Dimitris G.Manolakis,3rd Edition, 2000 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 4 | 20 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 40 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 7 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | |||||
| 2 | Ability to formulate, and solve complex mechatronics engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | |||||
| 3 | Ability to design a complex mechatronics engineering system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | |||||
| 4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in mechatronics engineering and robot technology practices; ability to employ information technologies effectively. | |||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex mechatronics engineering and robot technology problems or research questions. | |||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |||||
| 7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | |||||
| 8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself | |||||
| 9 | a-) Knowledge on behavior according to ethical principles, professional and ethical responsibility b-) Knowledge on standards used in engineering practices. | |||||
| 10 | a-) Knowledge about business life practices such as project management, risk management, and change management b-) Awareness in entrepreneurship, innovation; knowledge about sustainable development. | |||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | |||||
| 12 | Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions in the field of mechatronics engineering. | |||||
| 13 | Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planning, improving or changing the norms with a criticism. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | 4 | 2 | 8 |
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 5 | 80 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 4 | 8 |
| Prepration of Final Exams/Final Jury | 1 | 5 | 5 |
| Total Workload | 149 | ||