ECTS - Real Time Signal Processing
Real Time Signal Processing (EE426) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Real Time Signal Processing | EE426 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| EE306 |
| 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, Experiment, Drill and Practice, Team/Group, Project Design/Management. |
| Course Lecturer(s) |
|
| Course Objectives | This course provides an introduction to the principles of real-time digital signal processing (DSP).The focus of this course is hands-on development of real-time signal processing algorithms using audio-based DSP kits in a laboratory environment |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Architecture, instruction set, and hardware and software development tools associated with the Texas Instruments TMS320C6x family of fixed and floating processors. Signal processing applications such as waveform generation, FIR and IIR digital filtering, and DFT and FFT based spectral analysis and filtering. Requires an extensive DSP project of the |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Course introduction, Introduction to the C6000 DSK, Code Composer Studio IDE, Matlab, and basic skills | Glance at lecture notes |
| 2 | Sampling, quantization, and working with the AIC23 codec | Review last week and Glance this week’s topics from the lecture |
| 3 | DSP basics, memory architecture, I/O, and interrupt data processing | Review last week and Glance this week’s topics from the lecture |
| 4 | Review of FIR filtering. FIR fillter design techniques and tools | Review last week and Glance this week’s topics from the lecture |
| 5 | FIR fillter realization structures and practical considerations | Review last week and Glance this week’s topics from the lecture |
| 6 | Review of IIR filtering. IIR filter design techniques and tools | Review last week and Glance this week’s topics from the lecture |
| 7 | IIR filter realization structures and practical considerations | Review last week and Glance this week’s topics from the lecture |
| 8 | Writing effcient code: optimizing compiler, effect of data types and memory map | Review last week and Glance this week’s topics from the lecture |
| 9 | Fetch and execute packets, pipelining. Assembly language programming | Review last week and Glance this week’s topics from the lecture |
| 10 | Assembly language programming(cont’d) and code optimization | Review last week and Glance this week’s topics from the lecture |
| 11 | Computation of the Fast Fourier Transform. (FFT) | Review last week and Glance this week’s topics from the lecture |
| 12 | Applications of the FFT | Review last week and Glance this week’s topics from the lecture |
| 13 | Adaptive filtering basics. The Least Mean Squares algorithm | Review last week and Glance this week’s topics from the lecture |
| 14 | Other applications of DSP and review | Review last week and Glance this week’s topics from the lecture |
| 15 | Final Examination Period | Review of topics |
| 16 | Final Examination Period | Review of topics |
Sources
| Course Book | 1. Real-Time Digital Signal Processing: Based on the TMS320C6000, Nasser Kehtarnavaz |
|---|
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | 10 | 20 |
| Application | 1 | 20 |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 30 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 14 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| 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 | |||
| Application | 4 | 3 | 12 |
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 4 | 3 | 12 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 4 | 8 |
| Prepration of Final Exams/Final Jury | 1 | 5 | 5 |
| Total Workload | 127 | ||