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| ELK3024 | Digital Signal Processing | 3+0+2 | ECTS:6 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures and 2 hours of laboratory per week | | Lecturer | Prof. Dr. Gökçe HACIOĞLU | | Co-Lecturer | Assoc. Prof. Dr. Ali GANGAL | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | 1To provide a strong background on the digital signal processing theory and applications. To be able to write a program that performs a digital signal processing application. To be able to design and test the proper operation of common digital filters. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | explain the concepts of linearity, time-invariance, causality, and stability to classify a discrete-time. | 1,4,11 | 1 | | LO - 2 : | explain and apply sampling theorem, analog to digital and digital to analog conversion. | 1,4,11 | 1 | | LO - 3 : | describe the input-output characteristics of a discrete-time, linear time-invariant system ( LTI ) in time domain.
| 1,4,11 | 1 | | LO - 4 : | compute Discrete Time Fourier Transform and describe its properties..
| 1,4,11 | 1 | | LO - 5 : | evaluate the frequency response of a discrete-time, linear time-invariant (LTI) system from its
impulse response and vice versa.
| 1,4,11 | 1 | | LO - 6 : | design simple finite impulse response filters. | 1,4,11 | 1 | | LO - 7 : | design simple infite impulse response filters. | 1,4,11 | 1 | | LO - 8 : | compute Z-transform and explain its properties. | 1,4,11 | 1 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Signals in discrete time, Sampling, Signal reconstruction, Systems in discrete time, The convolution sum, Difference equation, The Discrete Time Fourirer Transform, Discrete Time Fourier Series, Fast Fourier Transform , System transfer function in frequency domain, The Z-transform, System transfer function in z domain. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Signals in discrete time | | | Week 2 | Sampling | | | Week 3 | Signal reconstruction | | | Week 4 | Systems in discrete time | | | Week 5 | Difference equation | | | Week 6 | The convolution sum | | | Week 7 | The Discrete Time Fouirer Transform | | | Week 8 | Discrete Time Fourier Series | | | Week 9 | Midterm exam | | | Week 10 | Fast Fourier Transform | | | Week 11 | System transfer function in frequency domain | | | Week 12 | The Z-transform | | | Week 13 | System transfer function in Z domain | | | Week 14 | FIR filter structures | | | Week 15 | IIR filter structures | | | Week 16 | Final exam | | | |
| 1 | Tan, Li 2008; Digital Signal Processing: Fundamentals and Applications, Elsevier Inc. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 20/11/2013 | 2,00 | 30 | | Laboratory exam | 15 | | | 20 | | End-of-term exam | 16 | 09/01/2014 | 2,00 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Laboratuar çalışması | 2 | 5 | 10 | | Arasınav için hazırlık | 2 | 5 | 10 | | Arasınav | 2 | 1 | 2 | | Dönem sonu sınavı için hazırlık | 4 | 4 | 16 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 124 |
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