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 |
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Real Time Signal Processing | EE426 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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EE 306 |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Demonstration, Experiment, Drill and Practice, Team/Group, Project Design/Management. |
Course Lecturer(s) |
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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;
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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 |
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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 |
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Evaluation System
Requirements | Number | Percentage of Grade |
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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 |
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Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | X |
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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 | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems. | X | ||||
2 | Implementing long-term research and development studies in major areas of Electrical and Electronics Engineering. | X | ||||
3 | Ability to use modern engineering tools, techniques and facilities in design and other engineering applications. | X | ||||
4 | Graduating researchers active on innovation and entrepreneurship. | |||||
5 | Ability to report and present research results effectively. | |||||
6 | Increasing the performance on accessing information resources and on following recent developments in science and technology. | |||||
7 | An understanding of professional and ethical responsibility. | |||||
8 | Increasing the performance on effective communications in both Turkish and English. | |||||
9 | Increasing the performance on project management. | |||||
10 | Ability to work successfully at project teams in interdisciplinary fields. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 |