ELE677 - SIGNAL PROCESSING FOR COMMUNICATIONS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| SIGNAL PROCESSING FOR COMMUNICATIONS | ELE677 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | None. | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Problem Solving | |||||
| Instructor (s) | Department Faculty | |||||
| Course objective | This course aims at giving the details of the channel estimation and equalisation techniques used in communication systems, and providing the details of the OFDM technique and topics related to next generation communication systems. | |||||
| Learning outcomes |
| |||||
| Course Content | Characterisation of communication channels, Channel estimation: Best Linear Unbiased Estimator (BLUE), Minimum Mean Square Error (MMSE) Estimator, Channel equalisation: Maximum Likelihood Sequence Detector (MLSD, Viterbi Algorithm), Zero Forcing (ZF) ve MMSE/DFE equalisers, adaptive equalisers, introduction to blind equalisation, OFDM: OFDM technique, channel estimation and equalisation in OFDM, topics related to OFDM (Peak-to-Average Power Ratio (PAPR), Intercarrier Interference (ICI), Adaptive Modulation) | |||||
| References | Proakis, Digital Communications, McGrawHill Molisch, Wireless Communications, Wiley Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall Haykin, Communication Systems, Wiley Haykin, Adaptive Filter Theory, Prentice Hall Goldsmith, Wireless Communications, Cambridge Univ. Press Tse and Viswanath, Fundamentals of Wireless Communications, Cambridge Univ. Press Proakis and Salehi, Communication Systems Engineering, Prentice Hall Rappaport, Wireless Communications: Principles and Practice, Prentice Hall Haykin and Moher, Modern Wireless Communications, Prentice Hall Sklar, Digital Communications: Fundamentals and Applications, Prentice Hall Oppenheim and Schafer, Discrete-Time Signal Processing, Prentice Hall Hayes, ?The Viterbi Algorithm Applied to Digital Data Transmission?, IEEE Comm.Mag., pp. 26-32, May 2002 Casas, et al., DFE Tutorial, http://www.ece.osu.edu/~schniter/pdf/dfetutorial.pdf | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Charateristics of Communication Channels |
| Week 2 | Channel Estimation |
| Week 3 | Channel Estimation |
| Week 4 | Channel Estimation |
| Week 5 | Channel Equalisation (MLSE+ZF) |
| Week 6 | Channel Equalisation (MMSE) |
| Week 7 | Channel Equalisation (DFE, Adaptive Equalization) |
| Week 8 | Midterm exam |
| Week 9 | OFDM |
| Week 10 | OFDM |
| Week 11 | OFDM |
| Week 12 | Multiuser Communications |
| Week 13 | Multiuser Communications |
| Week 14 | Presentations of Term Projects |
| Week 15 | Final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 6 | 20 |
| Presentation | 0 | 0 |
| Project | 1 | 20 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 60 |
| Percentage of final exam contributing grade succes | 0 | 40 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 5 | 70 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 13 | 5 | 65 |
| Midterms (Study duration) | 1 | 29 | 29 |
| Final Exam (Study duration) | 1 | 34 | 34 |
| Total Workload | 43 | 76 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge. | X | ||||
| 2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering. | X | ||||
| 3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. | X | ||||
| 4. Designs and runs research projects, analyzes and interprets the results. | X | ||||
| 5. Designs, plans, and manages high level research projects; leads multidiciplinary projects. | X | ||||
| 6. Produces novel solutions for problems. | X | ||||
| 7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. | X | ||||
| 8. Follows technological developments, improves him/herself , easily adapts to new conditions. | X | ||||
| 9. Is aware of ethical, social and environmental impacts of his/her work. | X | ||||
| 10. Can present his/her ideas and works in written and oral form effectively; uses English effectively | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest