Syllabus
Communication Theory: Principles of CoSubject
mmunication Systems
(part 1)
College
Instructor
Vyacheslav Tuzlukov
Class
ELEC331-01
Course No.
D
E-mail
Office
Lecture
Room
Credit
Semester
Tuzlukov@ee.knu.ac.kr
E10-515,
3
2009.1
(Spring Semester)
Phone
Office
Hours
Just after every lecture
Course Description
The main purpose of this course is to provide fundamentals of analog communication systems suitable for undergraduate students in electrical engineering and computer science. It is assumed that students are familiar with calculus, electronics, signals and systems, and possibly probability theory and have taken a structured programming course. There is a
wide variety of examples and problems that help to ones skill in both the theory and practice of analog communication
systems. Computer calculations are presented in the form of tables and graphs whenever possible so that the resulting numerical approximations are easier to visualized and interpret. Given the mathematical nature of communication theory, a
special effort is made not to lose sight of practical side of communication systems. To facilitate and reinforce learning, we
do the following: a) provide motivation to learn this course; b) emphasize basic concepts from a system perspective and
do so in an orderly manner; c) wherever appropriate, include examples and computer experiments to illustrate application
of the communication theory; d) provide homework problems following the discussion of fundamental concepts.
Teaching Method(s)
This course is based on a good background in probability theory and random processes, calculus and familiarity
with structured programming that provides a convenient stepping-stone to understand a study of fundamentals of analog
communication systems.
Textbooks and References:
Textbook: 1) Lecture Notes prepared by Professor Vyacheslav Tuzlukov posted on the lecture website.
2) Simon Haykin and Michael Moher, Introduction to Analog & Digital Communications, 2nd Edition,
John Wiley & Sons, Inc., 2007.
References: 1) B.P. Lathi, Modern Digital & Analog Communication Systems, 3rd Edition, Oxford University
Press, 1998
2) J.G. Proakis and M. Salehi, Essentials of Communication Systems Engineering, Pearson Education,
2005.
3) J.G. Proakis, M. Salehi, and G. Bauch, Contemporary Communication Systems Using MATLAB, 2nd
Edition, PWS, 2004.
4) F.G. Stremler, Introduction to Communication Systems, 3rd Edition, Addison Wesley, 1990.Publish.
Com. 1997.
5) L.W. Couch II, Digital and Analog Communication Systems, 5th Edition, Prentice-Hall, 1997.
Grading Policy
Mid-term exam (40%), Final exam (40%), Homework (15%) & Attendance (5%)
Lecture Medium
Utilize beam projector and black board. I really try to make the lecture to be attractive to the students.
Special Note to Students
1. Any question will be welcomed!
2. Students who are re-taking the course will receive only 90 % of their total score.
3. The lecture will be given in English.
Weekly Course Schedule
Reading
Week
Chapter/Topic
Assignments
Etc.
Introduction. Brief History of Communication Systems: Historical Background
Week 1
Applications Primary Resources and Operational Requirements Underpinning
Theories of Communication Systems Concluding Remarks
Fourier Representation of Signals and Systems: The Fourier Series and Fourier
Week 2
Transform Properties of the Fourier Transform The Inverse Relationship Between Time and Frequency Dirac Delta Function
Fourier Representation of Signals and Systems (continued): Fourier Transforms of
Week 3
Periodic Signals Transmission of Signals Through Linear Systems: Convolution
Revisited Ideal Low-Pass Filters
Fourier Representation of Signals and Systems (continued): Correlation and Spect-
Week 4
ral Density: Energy Signals Power Spectral Density Numerical Computation of
the Fourier Transform Theme Example: Twisted Pairs for Telephony Summary
and Discussion
Amplitude Modulation: Amplitude Modulation Virtues, Limitations, and ModifiWeek 5
cations of Amplitude Modulation Double Sideband-Supper Pressed Carrier Modulation Costas Receiver
Amplitude Modulation (continued): Quadrature-Carrier Multiplexing Single-Si-
Week 6
deband Modulation Vestigial Sideband Modulation Baseband Representation of
Modulated Waves and Band-Pass Filters Theme Examples Summary and Discussion
Week 7
Week 8
Angle Modulation: Basic Definitions Properties of Angle-Modulated Waves
Relationship Between PM and FM Waves Narrow-Band Frequency Modulation
MidTerm Exam
Angle Modulation (continued): Wide-Band Frequency Modulation Transmission
Week 9
Bandwidth of FM Waves Demodulation of FM Signals Theme Example: FM
Stereo Multiplexing Summary and Discussion
Pulse Modulation Transition from Analog to Digital Communications: Sampling
Week 10
Process Pulse-Amplitude Modulation Pulse-Position Modulation Completing
the Transition from Analog to Digital Quantization Process
Pulse Modulation Transition from Analog to Digital Communications (continu-
Week 11
ed): Pulse-Code Modulation Delta Modulation Differential Pulse-Code Modulation Line Codes Theme Examples Summary and Discussion
Random Signals and Noise: Probability and Random Variables Expectation
Transformation of Random Variables Gaussian Random Variables The Central
Week 12
Limit Theorem Random Processes Correlation of Random Processes Spectra
of Random Processes Gaussian Processes White Noise Narrowband Noise
Summary and Discussion
Noise in Analog Communications: Noise in Communication Systems Signal-toNoise Ratios Band-Pass Receiver Structures Noise in Linear Receivers Using
Week 13
Coherent Detection Noise in AM Receivers Using Envelope Detection Noise in
SSB Receivers Detection of Frequency Modulation (FM) FM Pre-emphasis and
De-emphasis Summary and Discussion
System and Noise Calculations: Electrical Noise Noise Figure Equivalent Noise
Week 14
Temperature Cascade Connection of Two-Port Networks Free-Space Link Calculations Terrestrial Mobile Radio Summary and Discussion
Week 15
Final Examination
