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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
DİGİTAL SİGNAL PROCESSİNG MEK 601 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Doktora
Dersin Türü SECMELI
Dersin Koordinatörü Doç.Dr. SEZGİN KAÇAR
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Helping students to develop themselves with digital signal procesing techniques and apply these techniques into different areas.
Helping students to get an ability to design digital filters using these techniques.
Dersin İçeriği
Techniques of digital signal processing. Examples of signal processing application in different areas.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Comprehends digital signal processing techniques. 1 - 2 - A -
2 - Explains signal processing algorithms. 1 - 2 - A -
3 - Explains advantages of digital signal processors. 1 - 2 - A -
4 - Comprehends application areas of signal processing. 1 - 2 - 14 - 15 - C -
5 - Comprehends Digital Signal Processors´ architectures 9 - 13 - 14 - A - C - D -
6 - Comments on signal processing applications in different areas. 1 - 2 - 14 - A - C -
7 - Explains a Digital Filter Block´s structure. 1 - 2 - 4 - 14 - A - C -
8 - Designs a digital filter. 1 - 2 - 14 - A - C - D -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 14:Self Study 15:Problem Solving 9:Simulation 13:Lab / Workshop 4:Drilland Practice
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
1 Digital Signal Processing and advantages. [1]
2 Comparison of digital signal processors with other processors. [2,3,4]
3 Numerical representations used in digital signal processors [2,3,4]
4 Techniques used in real-time signal processing. [1,2]
5 Importance of sampling process and problems encountered [1]
6 Errors in quantization process [1]
7 Errors in digital to analog conversion [1]
8 General features of digital signal processors [1]
9 Midterm Exam [1]
10 Transform methods in signal processing [1]
11 Digital filter design steps [1]
12 Finite Impuls Response (FIR) filters. Infinite Impuls Response (IIR) filters. Different filter structures. [1]
13 Techniques used in audio and video processing applications [2,3,4]
14 Application examples implemented in different areas [2,3,4]

Kaynaklar

Ders Notu [1] Eskikurt, Halil İbrahim; İşaret İşleme Ders Notları, SAÜ TEF, 2007
Ders Kaynakları [2] Emmanuel J. Ifeachor, Barrie W. Jervis, Dijital Signal Processing, A practical approach, Addison-Wesley Publishing Company, UK, 1993.
[3] Marven, C. and Ewers, G., A simple approach to Digital Signal Processing, Texas Instruments, UK, 1994.
[4] Handbook for Digital Signal Processing, Mitra, S.K. and Kaiser, J.F., John Wiley & Sons, USA, 1993.

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering X
3 Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
4 Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise X
5 Ability to complete and implement "limited or incomplete data" by using the scientific methods. X
6 Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
7 Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
8 Ability to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
9 Gain high level ability to define the required information and data X
10 Aware of new and developing application of profession and ability to analyze and study on those applications X
11 Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment X
12 At least be capable of oral and written communication in a foreign language X
13 Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
14 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
15 Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
Odev 1 50
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 20 20
Assignment 1 20 20
Final examination 1 30 30
Toplam İş Yükü 150
Toplam İş Yükü /25(s) 6
Dersin AKTS Kredisi 6
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