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| SEC 305 | Digital Signal Processing | 3+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of COMPUTER ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | Assoc. Prof. Ali GANGAL | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | 1) To provide a strong background on the digital signal processing theory and applications. 2) To be able to write a program that performs a digital signal processing application. 3) 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 : | learn fast Fourier transform, convulution, correlation, z- transform, and basic applications and developed areas. | 1,4,8 | 1 | | LO - 2 : | learn how to design FIR, IIR, and Adaptive filter step by step. | 5,11 | 1,3 | | LO - 3 : | apply digital signal algorithms and digital filter to make speech-to-text problems. | 4,5 | 1,3 | | LO - 4 : | achieve the implementation and developing algorithms for digital signals in time and frequency domains | 5,8 | 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 | The convolution sum | | | Week 6 | Difference equation | | | Week 7 | The Discrete Time Fourirer 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 L. 2008; Digital Signal Processing: Fundamentals and Applications, Academic Press, Burlington, USA | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 20/11/2013 | 1,50 | 50 | | End-of-term exam | 16 | 09/01/2014 | 1,50 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Klinik Uygulama | 0 | 0 | 0 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 0 |
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