GRADUATE SCHOOL

Ph.D. In Electrical-Electronics Engineering

EEE 562 | Course Introduction and Application Information

Course Name
Real-Time Signal Processing
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
EEE 562
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives This course introduces algorithms and applications of real-time signal processing. Course topics include hardware and software aspects of embedded DSP systems, interaction between hardware and software, real-time principles and trade-offs in algorithm design and implementation. Students will learn to use digital signal processors such as the TMS320C6x (with Matlab/Simulink) to implement some real-time audio, image and video processing algorithms.
Learning Outcomes The students who succeeded in this course;
  • know how to use and discuss the basic techniques/algorithms of the field,
  • have knowledge of the advantages and limitations of different real-time signal processing algorithms,
  • be able to evaluate potential applications of real-time signal processing techniques,
  • be able to design various signal processing algorithms using Matlab and signal processing toolbox, and implement them on the real-time DSP platform.
Course Description Hardware and software aspects of embedded DSP systems, interaction between hardware and software, real-time principles and trade-offs in algorithm design and implementation.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Real-Time DSP Systems Welch, Wright and Morrow, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, CRC Press, 2nd ed., 2011 (Ch. 1)
2 Review: Discrete-Time Signals and Systems; Sampling and Quantization Welch, Wright and Morrow, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, CRC Press, 2nd ed., 2011 (Ch. 2)
3 Fundamentals of Analog to Digital and Digital to Analog Converters Lecture Notes
4 Basic Operation of DSPs: DSP Memory Architecture, I/O, Interrupt Data Processing; Real-Time Operation, Worst-Case Timing Analysis Lecture Notes
5 Basic Operation of DSPs: DSP Memory Architecture, I/O, Interrupt Data Processing; Real-Time Operation, Worst-Case Timing Analysis Lecture NotesWelch, Wright and Morrow, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, CRC Press, 2nd ed., 2011 (Ch. 3)
6 Review of FIR Filter Design Techniques and Tools; FIR Filter Structures and Implementation; Realization of Real-Time FIR Filter Design on the DSP Platform
7 Review of IIR Filter Design Techniques and Tools; IIR Filter Structures and Implementation; Realization of Real-Time IIR Filter Design on the DSP Platform Welch, Wright and Morrow, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, CRC Press, 2nd ed., 2011 (Ch. 4)
8 Midterm Lecture Notes
9 Efficient Code Development: Code Optimization, Effect of Data Types and Memory Map Welch, Wright and Morrow, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, CRC Press, 2nd ed., 2011 (Ch. 6, 7)
10 Frame-Based DSP, Using Direct Memory Access, Digital Filters Using Frames Welch, Wright and Morrow, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, CRC Press, 2nd ed., 2011 (Ch. 8)
11 Fast Fourier Transform Computation, Development and Realization of the Efficient FFT Algorithms on the DSP Platform, FFT Applications Welch, Wright and Morrow, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, CRC Press, 2nd ed., 2011 (Ch. 9)
12 Spectrum Estimation and Analysis, Real-time DSP Implementation Lecture Notes
13 Adaptive Filtering Basics, Least-Mean-Square (LMS) Algorithm, Real-time DSP Implementation Lecture Notes
14 Real-time DSP Applications in Audio, Image and Video Processing Lecture Notes
15 Real-time DSP Applications in Audio, Image and Video Processing
16 Review of the Semester  

 

Course Notes/Textbooks The textbook referenced above and course slides
Suggested Readings/Materials Related Research Papers

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
6
60
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
2
40
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade
8
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
15
4
60
Field Work
6
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
2
42
84
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
0
    Total
224

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information. X
2 Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations. X
3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines. Knows and applies the research methods in studies of the area with a high level of skill.
X
4 Is informed about new and upcoming applications in the field and learns them whenever necessary. X
5 Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions. Can independently realize novel studies that bring innovation to the field, or methods, or design, or known methods.
X
6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. X
7 Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process. Performs critical analysis, synthesis and evaluation of new and complex ideas. X
8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. X
9 Engages in written and oral communication at least in Level C1 of the European Language Portfolio Global Scale. X
10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
X
11 Evaluates the results of scientific, technological and engineering research and development activities in terms of the social, environmental, health, safety and legal aspects. Examines social relations and norms related to the field, and develops and makes attempts to change them if necessary. Knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications.
X
12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics.
X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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