Gazi University

Gazi University
Electrical and Electronics Engineering Department
Fall 2014 Semester
Semester: Fall 2014
Credit: 4 (3+2)
Lectures per Week: 3
Course Duration: 14 weeks
Language: English
Compulsory/Elective: Compulsory
Prerequisities: EE334 Telecommunication Systems I
Instructor: Assist. Prof. Dr. Özgür Ertuğ (Room: 340, Email: [email protected])
Laboratory Assistant: Selçuk Avcı
Course Outline: Sampling process and pulse modulation methods. Baseband pulse
transmission. Digital modulation techniques for passband transmission. Introduction to
information theory and error control coding.
Course Objectives: To understand the basics of sampling process, pulse modulation and
digital modulation techniques that are basis of baseband analog/digital and passband
digital communications. To develop an understanding of information theoretical
measures and results as well as error-control coding for low error-rate digital
1-) Communication Systems. Simon Haykin. John Wiley and Sons Inc.
2-) Schaum’s Outline of Analog and Digital Communications. Hwei P. Hsu, Nobel.
Course Time and Place: Monday 13:30-16:20/ Auditorium D-206
Attendance: %10
Laboratory: %20
Midterm: %30
Final Exam: %40
Exam Policy: Exams will be in-class on the above dates. You will be allowed to bring 2
A4 page both-sides formula sheets to Midterm and 3 A4 pages both-sides formula sheet
to final exam.
Laboratory Policy: There will be 4 laboratory demo experiments during the course that
will be performed by the responsible laboratory assistants in Telecommunications
Systems Research Laboratory. You will have a one question quiz at the beginning of each
lab session. Laboratory sessions for each student will be determined in the first two
weeks of the semester.
Web Page: Course announcements will be made through the course page under Dr.
Ertuğ’s web page
Week 1 : Introduction to random processes, probability theory, random variables,
statistical averages, transformations of random variables
Week 2 : Random processes, stationarity, mean, correlation and covariance functions,
ergodicity, transmission of ramdom processes through a linear filter, power spectral
density, Gaussian processes and noise, properties of noise, signals in noise
Week 3 : Sampling process, pulse amplitude modulation, time-division multiplexing,
pulse-position modulation
Week 4 : Quantization, pulse-code modulation, noise effects in PCM,
Week 5: Baseband pulse transmission, matched filter, error rate due to noise, intersymbol
interference, Nyquist signalling for no ISI
Week 6: Correlative level coding, M-ary PAM, tapped-delay line equalization, adaptive
equalization, decision-feedback equalization, eye pattern
Week 7: Transmission model for digital passband transmission, Gram-Schmidt
orthogonalization, geometric interpretation of signals
Week 8: Correlator banks, coherent detection of signals in noise, maximum likelihood
Week 9: Midterm
Week 10: Probability of error in maximum likelihood detection, correlation receiver,
equivalance of correlation and matched filter receivers, detection of signals with
unknown phase, hierarchy of digital modulation techniques, coherent binary PSK,
coherent binary FSK
Week 11: Coherent quadriphase-shift keying, coherent minimum shift keying , GMSK,
M-ary FSK
Week 12: Detection of signals with unknown phase, noncoherent orthogonal modulation,
noncoherent binary frequency-shift keying, differential phase-shift keying, M-ary
modulation, bandwidth efficiency
Week 13: Introduction to information theory. Mutual information and capacity
definitions. Capacity of discrete memoryless and continous channels
Week 14: Introduction to error control coding. Linear block codes, cyclic codes and
convolutional codes. Related encoding techniques and decoding algorithms.