Obligation |
: |
Elective |
Prerequisite courses |
: |
ELE302 ELE324 |
Concurrent courses |
: |
ELE427 |
Delivery modes |
: |
Face-to-Face |
Learning and teaching strategies |
: |
Lecture, Question and Answer, Problem Solving, Other: This course must be taken together with ELE427 TELECOMMUNICATIONS THEORY LABORATORY II. |
Course objective |
: |
The students are expected to learn digital modulation, receivers and error probability performance in AWGN channels, pulse shaping and limits of communication in bandlimited channels, analog pulse modulation, quantization. |
Learning outcomes |
: |
A student who completes the course successfully will understand Fundamental modulation methods in digital communications Optimum receivers, MAP and ML detectors in AWGN channels Probability of symbol and bit errors, Q function, bounds on probabilty of error Digital transmission through bandlimited channels, Nyquist criterion for zero ISI |
Course content |
: |
Geometric representation of waveform signals PAM, ASK, PSK, QAM, FSK modulation Receivers and error probability performance in AWGN channels Digital transmission through bandlimited channels and Nyquist criterion for zero ISI |
References |
: |
J. G. Proakis and M. Salehi, Communications System Engineering, 2nd Ed, Prentice Hall, 2002. |
Course Outline Weekly
Weeks |
Topics |
1 |
Introduction, geometric representation of waveform signals, vector space, dimensionality, basis vectors |
2 |
Inner product vector spaces, orthonormal bases, vector space of finite energy functions, Gram Schmidt orthonormalization |
3 |
Pulse amplitude modulation |
4 |
Two dimensional waveforms |
5 |
PSK and QAM modulation |
6 |
Multidimensional waveforms, FSK modulation |
7 |
AWGN channel, matched filter, correlator |
8 |
Optimum receivers in AWGN, MAP, ML receivers, decision regions |
9 |
Probability of error for binary signaling, Q function |
10 |
Pairwise error probability, union bound, lower bound on error probability |
11 |
Midterm |
12 |
Digital transmission through bandlimited AWGN channels, Nyquist criterion for zero ISI |
13 |
Analog pulse modulation, A/D conversion |
14 |
Time and phase synchronization, DPSK |
15 |
Preparation for Final exam |
16 |
Final exam |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes |
Contribution level |
1 |
2 |
3 |
4 |
5 |
1. |
Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline. | | | | | |
2. |
Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions. | | | | | |
3. |
Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods. | | | | | |
4. |
Designs a system under realistic constraints using modern methods and tools. | | | | | |
5. |
Designs and performs an experiment, analyzes and interprets the results. | | | | | |
6. |
Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. | | | | | |
7. |
Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. | | | | | |
8. |
Performs project planning and time management, plans his/her career development. | | | | | |
9. |
Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. | | | | | |
10. |
Is competent in oral or written communication; has advanced command of English. | | | | | |
11. |
Has an awareness of his/her professional, ethical and social responsibilities. | | | | | |
12. |
Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. | | | | | |
13. |
Is innovative and inquisitive; has a high level of professional self-esteem. | | | | | |