Welcome,
Guest
.
Login
.
Türkçe
NİNOVA
COURSES
HELP
ABOUT
Where Am I:
Ninova
/
Courses
/
Faculty of Computer and Informatics
/
BLG 354E
/
Course Informations
Return to Faculty
Home Page
Course Information
Course Weekly Lecture Plan
Course Evaluation Criteria
Course Information
Course Name
Turkish
Bilgisayar Mühendisliği için İşaretler ve Sistemler
English
Signal&Systems for Comp.Eng.
Course Code
BLG 354E
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester

3
3


Course Language
English
Course Coordinator
Burak Berk Üstündağ
Course Objectives
Classification of signals and systems, basics of system models, analysis in frequency space, analysis of system response with respect to applied signals. Programming of discrete time systems and real time signal processing.
Course Description
Description of signal and system concepts. Mathematical definitions and analysis methods. Modeling, design basics and system level analysis of analog and digital systems. Analysis in frequency space. Introduction to discrete time systems and real time programming with DSPs.
Course Outcomes
1. Describe a periodic signal in time domain by defining its properties such as the fundamental period and fundamental frequency
2. Define a periodic signal as a sum of sinusoids or complex exponentials, i.e. create Fourier series representation of a periodic signal through both Fourier synthesis and analysis equations
3. Construct the spectrum representation of a periodic signal
4.Identify Finite Impulse Response systems, Linear Time Invariant Systems, and their properties
5. Define the impulse response of an LTI system both in continuous time and discretetime, and system properties such as stability and causality
6. Define the frequency response of an LTI system and its properties
7. Construct forward and inverse Fourier Transform of both periodic and nonperiodic continuoustime signals
8. Describe ideal frequency selective filters (lowpass, highpass, bandpass) in frequency domain
9. Perform frequency filtering over the spectrum of a signal
10. Describe Sampling Theorem and conversion between continuous time and discretetime domains
11. Describe principles of an Amplitude Modulation and Demodulation System
Prerequisite(s)
Basic Linear Algebra Knowledge, Basic Calculus Knowledge, Basic Programming Skills (Python is mandatory.).
Required Facilities
Other
Textbook
1 Signals and Systems (Schaum's), Hwei Hsu, 2013, McGrawHill
2 A Practical Approach to Signals and Systems, D. Sundararajan, 2008, JOHN WILEY
3 Think DSP, Allen B. Downey, 2016, O’REILLY
Other References
Courses
.
Help
.
About
Ninova is an ITU Office of Information Technologies Product. © 2024