M.SC. in Computer Engineering (Without Thesis)

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	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Doç. Dr. Türker İNCE
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

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	know how to use and discuss the basic techniques/algorithms of the field,
2	have knowledge of the advantages and limitations of different real-time signal processing algorithms,
3	be able to evaluate potential applications of real-time signal processing techniques,
4	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
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
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	Weighting	LO 1	LO 2	LO 3	LO 4
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

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	X	-
2	Is well-informed about contemporary techniques and methods used in Computer 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.		-	-	-	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 Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	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 modelling, analyses and resolves the complex problems that arise in this process.		-	-	-	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 B2 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	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	X	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	X	-	-	-