PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EEEN 435	DIGITAL SIGNAL PROCESSING	3 + 0	8th Semester	4

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To teach digital processing methods of continuous-time signals and the fundamentals of digital filter design and to gain ability for implementing signal processing applications in various fields such as communication.
Course Content	Signals and signal processing: General overview / Discrete-time signals and systems in the time-domain / Discrete-time linear time-invariant systems / Frequency domain analysis of discrete-time signals / Frequency domain analysis of discrete-time systems / Digital processing of continuous-time signals / z-transform / Applications of z-transform / Discrete Fourier transform (DFT) and Fast Fourier transform (FFT) / Digital Filter structures / FIR filter design methods / IIR filter design methods / Analysis of finite word length effect in digital filters.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	He/She can analyze discrete-time signals and systems in time and frequency domain
2	He/She can model and implement analog-to-digital and digital-to-analog conversions
3	He/She knows digital filter structures and can implement digital filter design

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	2	4	1	2	3	2	1	1	2	1	2
LO 002	3	5	3	3	2	2	1		2	3	3
LO 003	2	4	3	2	1	2	1	1	1	2	2
Sub Total	7	13	7	7	6	6	3	2	5	6	7
Contribution	2	4	2	2	2	2	1	1	2	2	2

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Mid-terms	1	6	6
Final examination	1	14	14
Total Work Load ECTS Credit of the Course			104 4

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	2	AYDIN KIZILKAYA

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EEEN 435	DIGITAL SIGNAL PROCESSING	3 + 0	2	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. AYDIN KIZILKAYA	akizilkaya@pau.edu.tr		MUH A0334	%

Goals		To teach digital processing methods of continuous-time signals and the fundamentals of digital filter design and to gain ability for implementing signal processing applications in various fields such as communication.
Content		Signals and signal processing: General overview / Discrete-time signals and systems in the time-domain / Discrete-time linear time-invariant systems / Frequency domain analysis of discrete-time signals / Frequency domain analysis of discrete-time systems / Digital processing of continuous-time signals / z-transform / Applications of z-transform / Discrete Fourier transform (DFT) and Fast Fourier transform (FFT) / Digital Filter structures / FIR filter design methods / IIR filter design methods / Analysis of finite word length effect in digital filters.

Topics

Weeks	Topics
1	Characterization and classification of signals, typical signal processing operations, examples of typical signals and typical signal processing applications, why DSP
2	Discrete-time signals and systems
3	Discrete-time linear time-invariant systems
4	Frequency domain analysis of discrete-time signals: Discrete-time Fourier series (DTFS) and Discrete-time Fourier transform (DTFT)
5	Frequency domain analysis of discrete-time systems
6	Digital processing of continuous-time signals: Sampling in time- and frequency domain, A/D and D/A conversions, signal reconstruction
7	z-transform
8	Applications of z-transform
9	MIDTERM
10	Discrete Fourier transform (DFT) and Fast Fourier transform (FFT)
11	Digital Filter structures
12	FIR filter design methods
13	IIR filter design methods
14	Analysis of finite word length effect in digital filters

Materials

Materials are not specified.

Resources

Resources	Resources Language
1- A. Kızılkaya, Sayısal İşaret İşleme Ders Notları, 2012.	Türkçe
2- A. H. Kayran, E. M. Ekşioğlu, Bilgisayar Uygulamalarıyla Sayısal İşaret İşleme, İkinci Baskı, Birsen Yay. 2010.	Türkçe
3- S. Mitra, Digital Signal Processing: A Computer Based Approach, Second Ed., McGrawHill, 2002.	English

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student