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 3 0 0 3 5
Pre-requisite Course(s)
EE 306
Course Language English
Course Type N/A
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 Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Hakan Tora
Course Assistants
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;
  • Describe the architecture and basic operation of fixed-point and foating-point DSPs
  • Perform worst-case timing analysis on real-time DSP systems
  • Develop and realize computationally effcient algorithms on the DSP platform (e.g. FFT, fast convolution)
  • Optimize DSP code (e.g. software pipelining)
  • Draw block diagrams of FIR and IIR filters under various realization structures and describe the advantages and disadvantages of each realization structure
  • Realize real-time FIR and IIR filter designs on the DSP platform, compare experimental results to theoretical expectations, and identify the source of performance discrepancies
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 Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems.
2 Implementing long-term research and development studies in major areas of Electrical and Electronics Engineering.
3 Ability to use modern engineering tools, techniques and facilities in design and other engineering applications.
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
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