Course Name : Digital Signal Processing

Degree: Bachelor

Code

Year/Semester

Local Credits

ECTS Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

EEE313

3/1 (Fall)

4

6

3

1

1

Department

Electrical and Electronics Engineering

Instructors

Prof. Dr. Mehmet Tahir Özden

Contact Information

e-mail: mtozden@pirireis.edu.tr/ Phone: X 1249

Office Hours

Tuesday  15:30- 16:30

Web page

http://www.pirireis.edu.tr

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  EE-222 and  ENG-316

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

10

70

20

-

Course Description

The major topics of the course are as  follows :

1. Discrete-Time Signals and Systems.
2. Z-Transform and Its Application to the Analysis of LTI Systems.
3. Frequency Analysis of Signals.
4. Frequency-Domain Analysis of LTI Systems
5. Sampling and Reconstruction of Signals.
6. Discrete Fourier Transform (DFT).
7. Fast Fourier Transform (FFT).
8. Implementation of Discrete-Time Systems.
9. Design of Digital Filters.

Course Objectives

The objective of this course is to introduce the fundamentals of discrete-time signals, systems, and modern signal processing for students of electrical and electronics engineering.

Course Learning Outcomes

1. Students are required to recall basic discrete-time signals, their mathematical modeling, and representation.
2. Students will be able analyze stable as well as unstable discrete-time systems using Z- transformation.
3.  They will be able to analyze discrete-time signals in frequency domain.
4. Students will be able mathematically connect the input and output of a system, particularly, they will be able to establish this connection for the linear time -invariant (LTI) systems in frequency domain.
5. They will know the sampling of continuous-time signals, as well as discrete-time signals, additionally they will have the knowledge to reconstruct the original signal of from sampled signals.
6. Student will be able to analyze signals and systems in in frequency domain by means of DFT.
7.  They will learn the methods of FFT, such as decimation in time, decimation in frequency, and split-radix methods as well as others.
8. The issues related to the implementation of digital signal processing systems will be conceptually overcome by the students.
9. Finite as well as infinite impulse filter design methods will be in the knowledge bank of students.

Instructional Methods and Techniques

Books, lecture notes, and   MATLAB programming.

Tutorial Place

Classroom and  Computer  Laboratory

Co-term Condition

-

Textbook

John G. Proakis and D.G. Manolakis, Digital Signal Processing, 4/E, Pearson International Education, 2013.

 John G. Proakis and Vinay K. Ingle, Digital Signal Processing Using MATLAB, 3/E, Brooks/Cole Publishing Company, 2000.

Other References

Richard G. Lyons, Understanding Digital Signal Processing, Prentice Hall, 2001.

 J. H. McClellan, R.W. Schafer, and M. A. Yoder, Signal Processing First, Pearson International Edition, 2003.

 John G. Proakis and Vinay K. Ingle, Essentials of Digital Signal Processing Using MATLAB,  Cengage Learning,2011.  (ISBN 9781111427382

Homework & Projects

Homework assignments will be given weekly.

Laboratory Work

computer laboratory work will be carried out one class hour per week, and then students will be required to complete the report related to their work in the class room.

Computer Use

Simulations will be carried out by using the MATLAB program.

Other Activities

-

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

Midterm

1

30

Quiz

Homework

13

15

Term Paper/Project

Laboratory Work

13

15

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

40

TOTAL

100

Effects of Midterm on Grading, %

30

Effects of Final on Grading, %

40

TOTAL

100

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

13

3

39

Midterm

1

3

3

Quiz

Homework

13

4

52

Term Paper/Project

Laboratory Work

13

4

52

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

3

3

Total Workload

149

Total Workload/25

149/25

Course ECTS Credits

5.96 » 6.0

Week

Topics

Course Outcomes

1

Discrete-time Signals and  Systems

I

2

Z-Transform and Its Application to the Analysis of LTI Systems

II

3

Z-Transform and Its Application to the Analysis of LTI Systems

II

4

Frequency Analysis of Signals

III

5

Frequency-Domain Analysis of LTI Systems

IV

6

Sampling and Reconstruction of Signals

V

7

Discrete Fourier Transform (DFT)

VI

8

MIDTERM EXAM

I-VI

9

Fast Fourier Transform (FFT)

VII

10

Implementation of Discrete-Time Systems

VIII

11

Implementation of Discrete-Time Systems

VIII

12

Design of Digital Filters

IX

13

Design of Digital Filters

IX

14

Design of Digital Filters

IX

Programme Outcomes

Level of Contribution

1

2

3

a

An ability to apply knowledge of mathematics, science, and engineering.

X

b

An ability to design and conduct experiments, as well as to analyze and interpret data.

X

c

An ability to design a system, component or process to meet desired needs.

X

d

Ability to function on multi-disciplinary teams.

X

e

An ability to identify, formulate, and solve engineering problems.

X

f

An understanding of professional and ethical responsibility.

X

g

An ability to communicate effectively.

X

h

The broad education necessary to understand the impact of engineering solutions in a global and societal context.

X

i

A recognition of the need for, and an ability to engage in life-long learning.

X

j

A knowledge of contemporary issues.

X

k

An ability to use the techniques, skills and modern engineering tools necessary for engineering practice.

X

l

An ability to apply engineering knowledge in Electric and Electronics.

X

Course Outcomes

I

II

III

IV

V

VI

VII

VIII

IX

Program Outcomes

a

X

X

X

X

X

X

X

X

X

b

X

X

X

X

X

X

X

X

X

c

X

X

X

X

X

X

X

X

X

d

X

·

e

X

X

X

X

X

X

X

X

X

f

X

X

X

g

X

X

X

X

X

X

X

X

X

h

X

X

X

X

i

X

X

X

X

X

X

X

X

X

j

·

X

X

k

X

X

X

X

X

X

X

X

X

l

X

X

X

X

X

X

X

X

X

Prepared by

Prof. Dr. Mehmet Tahir Özden

Date

12.06.2018

Signature