# 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.

Face -to- Face

#### Prerequisites and Co-requisites

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

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

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.

None

To be announced.

English

To be announced.

#### Contact Details for the Lecturer(s)

olcay.akay@deu.edu.tr

To be announced.

None