EEES401 Digital Signal Processing

4 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code EEES401
Name Digital Signal Processing
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SAMİ ARICA


Course Goal

Analysis and representation methods and techniques for digital (discrete) signals and systems are introduced.

Course Content

Sampling and reconstruction. Introduction to discrete time signals and systems. Linear time invariant (LTI) systems; convolution sum. Discrete transforms; DFT, FFT, DCT, DCT. Z-transform and applications. Transform domain analysis of LTI systems. Finite impulse response digital filter design. Infinite impulse response digital filter design. Digital Signal Processors. Digital signal processing applications.

Course Precondition

There are no prerequisites for the course.

Resources

Discrete-Time Signal Processing, 3/E. 2010. Alan V. Oppenheim and. Ronald W. Schafer. Pearson Prentice Hall Digital Signal Processing. A Computer-Based Approach. 1998. Sanjit K. Mitra.McGraw-Hill

Notes

No suggested additional course notes.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Describe and analyze discrete time signals in the time domain and frequency domain.
LO02 Apply digital signal processing techniques to analyze discrete time signals and systems
LO03 Apply digital signal processing techniques to design discrete time systems.
LO04 Design and apply digital filters.
LO05 Solve digital signal processing problems using Matlab.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. 5
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. 5
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ computer programming techniques, and information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
PLO06 Bilgi - Kuramsal, Olgusal Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations,
PLO08 Bilgi - Kuramsal, Olgusal Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PLO09 Bilgi - Kuramsal, Olgusal Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
PLO12 Bilgi - Kuramsal, Olgusal Ability to apply the knowledge of electrical-electronics engineering to profession-specific tools and devices. 3
PLO13 Bilgi - Kuramsal, Olgusal Having consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in.


Week Plan

Week Topic Preparation Methods
1 Sampling and reconstruction. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
2 Discrete time signals and systems: classifications and properties. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
3 Linear time invariant systems: convolution sum. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
4 LTI-causal systems described by linear constant coefficient difference equations. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
5 Discrete transforms: DFT, FFT, DCT and DST. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
6 Discrete transforms: DFT, FFT, DCT and DST (continued). Assigment I. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
7 Z-transform and applications. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Textbook reading/Problem solving. Ölçme Yöntemleri:
Yazılı Sınav
9 Z-transform and applications (continued). Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
10 Transform domain analysis of LTI systems. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
11 Transform domain analysis of LTI systems (continued). Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
12 Midterm Exam. II. Finite impulse response digital filter design. Assigment II. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
13 Infinite impulse response digital filter design. Assigment III. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
14 Digital Signal Processors. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
15 Digital signal processing applications. Assigment IV. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım
16 Term Exams Textbook reading/Problem solving. Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Textbook reading/Problem solving. Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 2 2
Final Exam 1 2 2
Total Workload (Hour) 88
Total Workload / 25 (h) 3,52
ECTS 4 ECTS