Ders Bilgi Formu (İngilizce)
Course Name:
Digital Signal Processing
Program
Information Systems Engineering
Credit:
6
Year- Semester:
4/8
Hours/Credit:
Instructor(s):
bilisimsistem@mu.edu.tr
T 3
U 0
L 0
C 6
Course Code:
BSM 4516
Level of Course:
Undergraduate
Required/Elective:
Elective
Language:
Turkish
Teaching Methods: Teaching, Question – Answer, Demonstration
Course Objectives: To provide students with the mathematical foundations and tools for analysis of signals processed by systems.
Course Content: İşaretler ve sistemler, sınıflandırma ve enerji, DZD sistemler, sürekli zaman DZD sistemleri, Fourier dönüşümü,
Laplace ve Z dönüşümü
I. Week
II. Week
Signals and Systems, Introduction and Mathematical Preliminaries, Some Examples of Signals and Systems
Signal classification and Energy, Basic Operations with Signals, Classification of Systems, Basic System
Properties
III. Week
LTI Systems and the Impulse Response, Examples and Properties of DT LTI Systems
IV. Week
Continuous Time LTI Systems
V. Week
Fourier Series Representation of Continuous Time Periodic Signals
VI. Week
Discrete Time Fourier Series
VII. Week
Fourier Transform
VIII. Week
Midterm Exam
IX. Week
Continuous Time Fourier Transform
X. Week
Discrete Time Fourier Transform
XI. Week
Frequency Response of LTI Systems, Bode Plots
XII. Week
Discrete Time Processing of Continuous Time Signals, Sampling of Discretetime Signals
XIII. Week
Laplace Transform
XIV. Week
Z Transform
Anticipated Learning Outcomes: At the end of this course, the student;

Describes different types of signals, signal representations, and main properties of signals useful to their analysis.

Describes the basic concepts of Fourier series and Fourier transforms for discrete- and continuous-time signals.

Performs the Laplace and z transforms and corresponding inverse transforms using the definitions, tables of standard
transforms and properties, and partial fraction expansion.

Uses Matlab signal processing toolbox to create, analyze and process signals, and to simulate and analyze systems.
Assessment Method(s): Midterm Exam (30%), Final Exam (40%), Assignments (30%)
Textbook: Sinyaller ve Sistemler, S. Hamid Nawab, Alan S. Willsky, Alan V. Oppenheim, Akademi Yayın, 2010.
Recommended Reading:

Bilgisayar Uygulamalarıyla Sayısal İşaret İşleme, A. H. Kayran, E. M. Ekşioğlu, Birsen Yayınevi, 2004.

Sayısal İşaret İşleme, Sarp Ertürk, Birsen Yayınevi, 2. Baskı, 352 s., İstanbul, 2009.
Pre/Co-requisites: None