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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Telecommunications Tehory MEH616 Elective Doctorate degree 1 Fall 8

Name of Lecturer(s)

Associate Prof. Dr. Sıtkı ÖZTÜRK

Learning Outcomes of the Course Unit

1) Knowledge of representation of bandpass signals and systems
2) Representation of bandpass random processes
3) Knowledge of Signal-Space Concept
4) Waveform synthesis and their geometric interpretations
5) Knowledge of Gram – Schmidt orthogonalization method
6) Correlator and matched filter receivers, and calculation of the error probability
7) Knowledge of Rectangular, orthogonal, and biorthogonal signal structures
8) Knowledge of Efficient signaling for message sequences
9) Time – bandwidth –dimension relationship, selection of efficient signals, and channel capacity theorem
10) Knowledge of bandwidth efficient coding in signal space
11) Coded modulation, trellis codes and properties, design criteria, and performance analysis

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 No relation No relation Low No relation No relation High Low
2 No relation No relation Low No relation No relation High Low
3 No relation No relation Low No relation No relation High Low
4 No relation No relation Low No relation No relation High Low
5 No relation No relation Low No relation No relation High Low
6 No relation No relation No relation No relation No relation High Low
7 No relation No relation No relation No relation No relation High Low
8 No relation No relation Low No relation No relation High Low
9 No relation No relation Low No relation No relation High Low
10 No relation No relation Low No relation No relation High Low
11 No relation No relation Low No relation No relation High Low

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

MEHxxx Computer and Communication Networks MEH449 GSM Communication Systems MEH447 Communication Electronics MEH108 Information Theory

Course Contents

Representation of bandpass signals and systems, complex envelope, lowpass equivalents, representation of bandpass random processes. Signal-Space Concept: Vector channels, waveform synthesis, their geometric interpretations, Gram – Schmidt orthogonalization method, recovery of signal vectors, correlator and matched filter receivers, calculation of the error probability, minimum energy signals, rectangular, orthogonal, biorthogonal signal structures, union bound for the error probability. Efficient signaling for message sequences: Time – bandwidth –dimension relationship, selection of efficient signals, channel capacity theorem, bandwidth efficient coding in signal space: Coded modulation, trellis codes, properties, design criteria, performance analysis.

Weekly Schedule

1) Representations of bandpass signals and systems
2) Representations of bandpass signals and systems
3) Signal-Space
4) Waveform synthesis and their geometric interpretations
5) Gram – Schmidt orthogonalization method
6) Correlator and matched filter receivers, and calculation of the error probability
7) Correlator and matched filter receivers, and calculation of the error probability (Cont.)
8) Midterm Examination/Assessment
9) Rectangular, orthogonal, and biorthogonal signal structures
10) Efficient signaling for message sequences
11) Time – bandwidth –dimension relationship, selection of efficient signals, and channel capacity theorem
12) Time – bandwidth –dimension relationship, selection of efficient signals, and channel capacity theorem (Cont.)
13) bandwidth efficient coding in signal space
14) Coded modulation, trellis codes and properties, design criteria, and performance analysis
15) Coded modulation, trellis codes and properties, design criteria, and performance analysis (Cont.)
16) Final Examination

Recommended or Required Reading

1- Digital Communication by John G Proakis

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Self Study
6) Project Based Learning


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

40%

 

Number

Percentage

Semester Studies

Midterm Examination

1

60%

Short Exam / Quiz

2

10%

Quiz

6

10%

Project

1

10%

Presentation/Seminar

3

10%

 

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required