Digital Signal Processing(INF345)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| INF345 | Digital Signal Processing | 6 | 3 | 0 | 0 | 3 | 4 |
| Prerequisites | INF316 |
| Admission Requirements | INF316 |
| Language of Instruction | French |
| Course Type | Elective |
| Course Level | Bachelor Degree |
| Course Instructor(s) | |
| Assistant | |
| Objective | The objective of this course is to give basic information of signal processing. The aim is to present theoretical results on this subject and practical applications. |
| Content |
w1 Digital processing, motivation and needs. The digital signal processing systems, characteristics and advantages w2 Signals and Systems I: discrete time and continuous-time signals. Transformation of the argument. Exponential and sinusoidal signals. The unit impulse and unit step functions. w3 Signals and Systems II: continuous time and properties of discrete-time system. Memory Systems, causality, stability, linearity and time invariance w4 The linear time invariant (LTI) systems: convolution sum and integral. Unit impulse response and convolution sum expression LTI systems. LTI system properties. w5 Term (periodic) signals to the expression in Fourier series. discrete time and continuous-time convergence of Fourier series and the properties of expressions w6 sign with non-periodic expression of Fourier series. discrete time and continuous-time convergence of Fourier series with properties and expressions w7 Fourier transform amplitude-phase expression. filter design, ideal and non-ideal at the time and frequency characteristics of filters w8 The mid-term w9 Sampling: The sampling of analog signals. sampling theorem, the sampling pulse train w10 The Laplace transform: convergence zone, transformation properties. systems using the Laplace transform analysis LTI w11 convergence zone: Z-transform. transformation properties. LTI systems using the Z transform analysis w12 Digital signal processing, software and applications, programming languages, development environments and the introduction of software w13 practical applications of the concepts I: Examples of digital signal processing and its applications w14 practical concepts applications II: Examples of digital signal processing and its applications |
| Course Learning Outcomes |
1. Understand and be able to classify the nature of the types of signals encountered in engineering applications. 2. Distinguish the processes of discrete and continuous signal processing. 3. LTI (Linear Time Invariant) systems to understand the properties. 4. Understand the theoretical and practical applications of the sampling process. 5. Being able to transform time-frequency and apply them. |
| Teaching and Learning Methods |
oral presentation with slides student presentations computer analysis quiz term project |
| References |
Francis Cottet, “TRAITEMENT DES SIGNAUX ET ACQUISITION DE DONNÉES” Dunod. Paris 2009 Vinay K. Ingle and John G. Proakis, “Digital Signal Processing Using MATLAB”, Cengage Learning, 2007 |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Digital processing, motivation and needs. The digital signal processing systems, characteristics and advantages |
| 2 | Signals and Systems I: discrete time and continuous-time signals. Transformation of the argument. Exponential and sinusoidal signals. The unit impulse and unit step functions. |
| 3 | Signals and Systems II: continuous time and properties of discrete-time system. Memory Systems, causality, stability, linearity and time invariance |
| 4 | The linear time invariant (LTI) systems: convolution sum and integral. Unit impulse response and convolution sum expression LTI systems. LTI system properties. |
| 5 | Term (periodic) signals to the expression in Fourier series. discrete time and continuous-time convergence of Fourier series and the properties of expressions |
| 6 | sign with non-periodic expression of Fourier series. discrete time and continuous-time convergence of Fourier series with properties and expressions |
| 7 | Fourier transform amplitude-phase expression. filter design, ideal and non-ideal at the time and frequency characteristics of filters |
| 8 | The mid-term |
| 9 | Sampling: The sampling of analog signals. sampling theorem, the sampling pulse train |
| 10 | The Laplace transform: convergence zone, transformation properties. systems using the Laplace transform analysis LTI |
| 11 | convergence zone: Z-transform. transformation properties. LTI systems using the Z transform analysis |
| 12 | Digital signal processing, software and applications, programming languages, development environments and the introduction of software |
| 13 | practical applications of the concepts I: Examples of digital signal processing and its applications |
| 14 | practical concepts applications II: Examples of digital signal processing and its applications |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 1 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Toplam | 2 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 1 | 5 |
| Presentation | 1 | 5 |
| Midterm Examinations (including preparation) | 1 | 20 |
| Project | 1 | 20 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 2 | 10 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 6 | 60 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Matematik, fizik ve mühendislik bilimlerine özgü konularda yeterli bilgi birikimi; bu alanlardaki kuramsal ve uygulamalı bilgileri, mühendislik problemlerinin modellenmesi ve çözümünde kullanabilme becerisi. | X | ||||
| 2 | Karmaşık bilgisayar mühendisliği problemlerini saptama, tanımlama, formüle etme ve çözme becerisi; bu amaçla uygun analiz ve modelleme yöntemlerini seçme ve uygulama becerisi. | X | ||||
| 3 | Yazılımsal veya donanımsal karmaşık bir sistemi, süreci veya donanımı gerçekçi kısıtlar ve koşullar altında, belirli gereksinimleri karşılayacak şekilde tasarlama becerisi; bu amaçla modern tasarım yöntemlerini uygulama becerisi. | X | ||||
| 4 | Mühendislik uygulamalarında karşılaşılan karmaşık problemlerin analizi ve çözümü için gerekli olan modern teknik ve araçları geliştirme, seçme ve kullanma becerisi; bilişim teknolojilerini etkin bir şekilde kullanma becerisi. | X | ||||
| 5 | Analitik düşünce ile bir sistemi, sistem bileşenini ya da süreci analiz etme, modelleme, deney tasarlama ve yapma, veri toplama, çözüm algoritmaları üretebilme, uygulamaya alma ve geliştirme becerileri. | X | ||||
| 6 | Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi. | X | ||||
| 7 | Türkçe sözlü ve yazılı etkin iletişim kurma becerisi; en az iki yabancı dil bilgisi; etkin rapor yazma ve yazılı raporları anlama, yazılım ve donanım tasarımını, gerekirse teknik resim metotları kullanarak raporlayabilme, etkin sunum yapabilme becerisi. | X | ||||
| 8 | Bilgiye erişebilme ve bu amaçla kaynak araştırması yapabilme, veri tabanları ve diğer bilgi kaynaklarını kullanabilme becerisi | X | ||||
| 9 | Yaşam boyu öğrenmenin gerekliliği bilinci; kendini sürekli yenileme becerisi. | X | ||||
| 10 | Mesleki etik ilkelerine uygun davranma, mesleki sorumluluk bilinci; mühendislik uygulamalarında kullanılan standartlar hakkında bilgi. | |||||
| 11 | Proje yönetimi, risk yönetimi ve değişiklik yönetimi gibi, iş hayatındaki uygulamalar hakkında bilgi; girişimcilik, yenilikçilik hakkında farkındalık; sürdürülebilir kalkınma hakkında bilgi. | X | ||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 13 | 2 | 26 |
| Assignments | 1 | 4 | 4 |
| Presentation | 1 | 4 | 4 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Project | 1 | 15 | 15 |
| Quiz | 2 | 2 | 4 |
| Total Workload | 105 | ||
| Total Workload / 25 | 4,20 | ||
| Credits ECTS | 4 | ||