COURSE UNIT TITLE

: DIGITAL SIGNAL PROCESSING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 4009 DIGITAL SIGNAL PROCESSING ELECTIVE 3 2 0 6

Offered By

Electrical and Electronics Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR OLCAY AKAY

Offered to

Electrical and Electronics Engineering

Course Objective

The goal of this course is to introduce the students into discrete-time systems and the discrete Fourier transform (DFT), which is used in analysis and synthesis of discrete-time systems, and to equip the students with the abilities of synthesizing FIR and IIR filters and designing them on computer using MATLAB programming language.

Learning Outcomes of the Course Unit

1   To be able to mathematically represent the discrete-time systems and their properties.
2   To be able to interpret the discrete Fourier transform (DFT), which is used for processing digital signals, and its properties.
3   To be able to calculate the DFT on computer by using the fast Fourier transform (FFT).
4   To be able to contrast the FIR and IIR filters.
5   To be able to propose solution methods to problems on discrete-time systems and digital signals.
6   To be able to design digital filters and similar discrete-time systems by using MATLAB programming language.
7   To be able to realize a system design project on digital signal processing by taking part in a team.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

EED 2010 - SIGNALS AND SYSTEMS
EED 2004 - SIGNALS AND SYSTEMS

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Discrete Fourier Transform (DFT)
3 Properties of DFT
4 Fast Fourier Transform (FFT)
5 Basic FIR and IIR Filter Structures
6 Design of FIR filters by Fourier method and frequency sampling
7 Midterm Exam
8 Design of lowpass prototype Butterworth and Chebyshev analog filters
9 Design of lowpass, highpass, bandpass, and bandstop Butterworth and Chebyshev filters
10 Design of IIR filters by matched z-transform, impulse- and step-invariant design methods
11 Design of IIR filters by bilinear transform
12 Design of IIR filters by direct design methods
13 Midterm Exam
14 Power spectrum estimation and periodogram

Recomended or Required Reading

Ana kaynak: Discrete-Time Signal Processing, (third edt.), A. V. Oppenheim, R. W: Schafer, Pearson, 2010.
Yardımcı kaynaklar: Digital Signal Processing: Principles, Algorithms, and Applications, (fourth edt.), J. G. Proakis, D. G. Manolakis, Prentice Hall, 2006.
Referanslar:
Diğer ders materyalleri:

Planned Learning Activities and Teaching Methods

Lecture + Laboratory + Project + Exam

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 LAB LABORATORY
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE1 * 0.15 + MTE2 * 0.20 + LAB * 0.15 + FIN * 0.50
6 RST RESIT
7 FCG FINAL COURSE GRADE MTE 1 * 0.15 + MTE 2 * 0.20 + LAB * 0.15 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

olcay.akay@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Laboratory 14 2 28
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 6 6
Preparation for final exam 1 10 10
Design Project 1 50 50
Final 1 2 2
Midterm 2 2 4
TOTAL WORKLOAD (hours) 152

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.134131
LO.2225
LO.314
LO.41554
LO.5251114
LO.6125215511
LO.71345115351