Welcome,
Guest
.
Login
.
Türkçe
NİNOVA
COURSES
HELP
ABOUT
Where Am I:
Ninova
/
Courses
/
Faculty of Electrical and Electronic Engineering
/
EEF 206E
/
Course Informations
Return to Faculty
Home Page
Course Information
Course Weekly Lecture Plan
Course Evaluation Criteria
Course Information
Course Name
Turkish
İşaret İşleme ve Lineer Sistemler
English
Signal Processing & Linear Systems
Course Code
EEF 206E
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester
4
4
4
-
-
Course Language
English
Course Coordinator
Oğuz Kağan Işık
Course Objectives
1. To provide information on the properties and classification of continuous-time and discrete-time signals.
2. To provide information on the frequency and transform domain analysis of continuous-time and discrete-time linear systems.
3. To provide information on the fundamental applications of these concepts in Electrical and Electronics Engineering.
Course Description
Introduction to continuous-time (CT) signals and systems; Classification of CT signals and important CT signals; CT system properties; CT linear time invariant (LTI) systems: impulse response, CT convolution integral, differential equations; CT Fourier series expansion (CTFS); CT Fourier transform (CTFT); Relationship between CTFT and CTFS; Laplace transform; Transform domain analysis of CT- LTI systems; Sampling and sampling theorem; Uniform Quantization; Introduction to discrete-time (DT) signals and systems; Classification of DT signals and important DT signals; DT system properties; DT-LTI systems; Time domain representations of DT-LTI systems: impulse response, DT convolution sum, difference equations; DT Fourier series expansion (DTFS); DT Fourier transform (CTFT); Relationship between DTFT and DTFS; ztransform; Transform domain analysis of DT- LTI systems; Telecommunication applications; Modulation and demodulation; Filtering; Multidimensional signals; Image processing applications.
Course Outcomes
Students who pass this course successfully will be able to:
I. Classify and know the properties of continuous-time and discrete-time signals and systems,
II. Represent and analyze continuous-time and discrete-time signals and systems in the time domain,
III. Represent and analyze continuous-time and discrete-time signals and systems in the frequency domain,
IV. Represent and analyze continuous-time and discrete-time signals and systems in the transform domain.
Pre-requisite(s)
Required Facilities
Other
Textbook
Alan Oppenheim, Alan Willsky, Signals and Systems, Prentice Hall, 1996.
Other References
Courses
.
Help
.
About
Ninova is an ITU Office of Information Technologies Product. © 2026