EE685 Digital Signal Processing

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

Information

Code EE685
Name Digital Signal Processing
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Yüksek 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 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 Design and apply digital filters.
LO04 Solve digital signal processing problems using Matlab.
LO05 Apply digital signal processing techniques to design discrete time systems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Being able to specialize in at least one of the branches that form the foundations of electrical-electronic engineering by increasing the level of knowledge beyond the undergraduate level. 5
PLO02 Bilgi - Kuramsal, Olgusal To comprehend the integrity of all the subjects included in the field of specialization. 4
PLO03 Bilgi - Kuramsal, Olgusal Knowing and following the current scientific literature in the field of specialization 4
PLO04 Bilgi - Kuramsal, Olgusal To be able to comprehend the interdisciplinary interaction of the field with other related branches. 4
PLO05 Bilgi - Kuramsal, Olgusal Ability to do theoretical and experimental work 4
PLO06 Bilgi - Kuramsal, Olgusal To create a complete scientific text by compiling the information obtained from the research. 3
PLO07 Bilgi - Kuramsal, Olgusal To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. 3
PLO08 Bilgi - Kuramsal, Olgusal To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. 3
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of English at a level that can easily read and understand a scientific text written in English in the field of specialization 2
PLO10 Bilgi - Kuramsal, Olgusal Compile information on his/her expertise in a presentation format and present it understandably and effectively. 2
PLO11 Bilgi - Kuramsal, Olgusal Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise. 4
PLO12 Bilgi - Kuramsal, Olgusal Being able to guide and take the initiative in environments that require solving problems related to the field 3
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Ability to communicate with people in an appropriate language 2
PLO14 Yetkinlikler - Öğrenme Yetkinliği To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements 2
PLO15 Yetkinlikler - Öğrenme Yetkinliği Ability to research new topics based on existing research experience 4


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, Alıştırma ve Uygulama
3 Linear time invariant systems: convolution sum. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 LTI-causal systems described by linear constant coefficient difference equations. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Discrete transforms: DFT, FFT, DCT and DST. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Discrete transforms: DFT, FFT, DCT and DST (continued). Assigment I. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 z-transformation and its applications. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Textbook reading/Problem solving. Ölçme Yöntemleri:
Yazılı Sınav
9 z-transformation and its applications (continued). Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Transform domain analysis of LTI systems. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Transform domain analysis of LTI systems (continued). Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Finite impulse response digital filter design. Assigment II. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Infinite impulse response digital filter design. Assigment III. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Digital Signal Processors. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Digital signal processing applications. Assigment IV. Textbook reading/Problem solving. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
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 5 70
Assesment Related Works
Homeworks, Projects, Others 7 4 28
Mid-term Exams (Written, Oral, etc.) 1 2 2
Final Exam 1 2 2
Total Workload (Hour) 144
Total Workload / 25 (h) 5,76
ECTS 6 ECTS