Information Package / Course Catalogue
| Course Code | : MTK640 |
| Course Type | : Area Elective |
| Couse Group | : Third Cycle (Doctorate Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
This course will introduce the basic concepts and techniques for processing signals on a computer. By the end of the course, students will be familiar with the most important methods in Digital Signal Processing (DSP), including digital filter design and transform-domain processing. The course emphasizes intuitive understanding and practical implementations of the theoretical concepts using the Matlab environment.
Introduction to digital signal processing and its applications. Analog/digital input/output interfaces for real time systems. Discrete transforms, Discrete Fourier transform. Fast Fourier transform, inverseFFT, and discrete transforms. Z-transorm and applications. Extracting correlation and convolution function. Training algorithms for digital signal processing and speech recognition. Digital filter design. Finite impulse response (FIR) digital filter design. Window-based FIR filter design. FIR filter design by frequency sampling. Recursive (IIR) digital filter design. Adaptive digital filters.
| 1. | Ability to understand the fundamental concepts of Digital Signal Processing (DSP) |
| 2. | Ability to use filters and transforms in DSP |
| 3. | Ability to develop applications using the techniques in DSP |
| 4. | To be able to gain the skill of interpreting some interrelations among these concepts |
| 5. | To be able to use mathematical concepts in solving certain types of problems |
| 1. | Computer-Based Exercises for Signal Processing Using MATLAB, McClellan, J. H., et al., Upper Saddle River, NJ: Prentice Hall, 1998 |
| 2. | Digital Signal Processing, A practical Approach, Emmanuel C. Ifeachor, Barrie W. Jervis, Second Edition, Prentice Hall, 2002 |
| 3. | Digital Signal Processing: A computer-based approach (3rd ed.), Sanjit K. Mitra, McGraw-Hill, 2005 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %5 |
| Term Assignment | 1 | %5 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 3 | 42 |
| Assignment | 1 | 0 | 6 | 6 |
| Term Project | 1 | 0 | 6 | 6 |
| Individual Work | 14 | 0 | 5 | 70 |
| Midterm Examination | 1 | 30 | 2 | 32 |
| Final Examination | 1 | 42 | 2 | 44 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 3 | 3 | 4 | 4 | 4 | 3 | 4 | 4 | 3 | 2 | 2 | ||||
OÇ-2 | 3 | 4 | 4 | 5 | 4 | 5 | 3 | 4 | 4 | 3 | 2 | 2 | |||
OÇ-3 | 4 | 5 | 4 | 5 | 5 | 5 | 3 | 4 | 4 | 3 | 3 | 3 | |||
OÇ-4 | 4 | 5 | 4 | 4 | 5 | 4 | 3 | 4 | 4 | 3 | 3 | 3 | |||
OÇ-5 | 4 | 4 | 5 | 4 | 4 | 4 | 3 | 4 | 4 | 3 | 3 | 3 | 4 | ||