ACADEMICS
Course Detail

ELE 677 Signal Processing for Communications
2016-2017 Summer term information

The course is not open this term

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.

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
Prerequisite(s)None.
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
 
Instructor (s)Assoc.Prof.Dr. Cenk Toker 
Course objectiveThis 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
  1. To teach the details of channel estimation and equalisation, and why they should be used,
  2. To discuss and teach several channel estimation and equalisation techniques, and their advantages and disadvantages,
  3. To teach the OFDM techniques, to discuss where and why it should be used, and its limitations.
Course ContentCharacterisation 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)
 
ReferencesProakis, 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

WeeksTopics
Week 1Charateristics of Communication Channels
Week 2Channel Estimation
Week 3Channel Estimation
Week 4Channel Estimation
Week 5Channel Equalisation (MLSE+ZF)
Week 6Channel Equalisation (MMSE)
Week 7Channel Equalisation (DFE, Adaptive Equalization)
Week 8Midterm exam
Week 9OFDM
Week 10OFDM
Week 11OFDM
Week 12Multiuser Communications
Week 13Multiuser Communications
Week 14Presentations of Term Projects
Week 15Final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments620
Presentation00
Project120
Seminar00
Midterms120
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
Total100

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation000
Project000
Homework assignment13565
Midterms (Study duration)12929
Final Exam (Study duration) 13434
Total Workload4376218

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
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 effectivelyX    

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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