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 | 3 | 2 | 0 | 4 | 6 |
| Pre-requisite Course(s) |
|---|
| EE 303 |
| Course Language | English |
|---|---|
| Course Type | N/A |
| 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 | Accumulated knowledge on mathematics, science and mechatronics engineering; an ability to apply the theoretical and applied knowledge of mathematics, science and mechatronics engineering to model and analyze mechatronics engineering problems. | |||||
| 2 | An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems. | |||||
| 3 | An ability to design a complex system, product, component or process to meet the requirements under realistic constraints and conditions; an ability to apply contemporary design methodologies; an ability to implement effective engineering creativity techniques in mechatronics engineering. (Realistic constraints and conditions may include economics, environment, sustainability, producibility, ethics, human health, social and political problems.) | |||||
| 4 | An ability to develop, select and use modern techniques, skills and tools for application of mechatronics engineering and robot technologies; an ability to use information and communications technologies effectively. | |||||
| 5 | An ability to design experiments, perform experiments, collect and analyze data and assess the results for investigated problems on mechatronics engineering and robot technologies. | |||||
| 6 | An ability to work effectively on single disciplinary and multi-disciplinary teams; an ability for individual work; ability to communicate and collaborate/cooperate effectively with other disciplines and scientific/engineering domains or working areas, ability to work with other disciplines. | |||||
| 7 | An ability to express creative and original concepts and ideas effectively in Turkish and English language, oral and written, and technical drawings. | |||||
| 8 | An ability to reach information on different subjects required by the wide spectrum of applications of mechatronics engineering, criticize, assess and improve the knowledge-base; consciousness on the necessity of improvement and sustainability as a result of life-long learning; monitoring the developments on science and technology; awareness on entrepreneurship, innovative and sustainable development and ability for continuous renovation. | |||||
| 9 | Consciousness on professional and ethical responsibility, competency on improving professional consciousness and contributing to the improvement of profession itself. | |||||
| 10 | A knowledge on the applications at business life such as project management, risk management and change management and competency on planning, managing and leadership activities on the development of capabilities of workers who are under his/her responsibility working around a project. | |||||
| 11 | Knowledge about the global, societal and individual effects of mechatronics engineering applications on the human health, environment and security and cultural values and problems of the era; consciousness on these issues; awareness of legal results 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. | |||||
| 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 planing, 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 | ||