EE354 Communication Systems Lecture Schedule
See Time Table
Semester
Six EE 237: Signals and Systems EE 240: Stochastic Processes
Credit Hours
Three
Pre-requisite
Instructor
M. Tahir and Sahar Idrees
Contact
Office
Ground Floor Electrical Eng. Dept. UET
Office Hours
Monday 9:30am- 11:30pm
Teaching Assistant
None
Lab Schedule
See class timetable
Office
N/A
Office Hours
N/A
Course Description
The course will be an introduction to communication systems, primarily answering the question of how to transfer information from one point to another point. After a brief review of Fourier analysis and random processes, three fundamental modulation techniques namely amplitude/phase/frequency modulation, will be covered. Then we will cover baseband and passband digital data transmission techniques.
Expected Outcomes
Upon completion of this course, students will: • Understand the fundamentals of different modulation schemes and their performance in the presence/absence of noise.
Textbooks
Grading Policy
[email protected]
[email protected]
REQUIRED: Modern Digital and Analog Communication Systems by B. P. Lathi and Zhi Ding, 4th Edition, Oxford University Press, 2009. OPTIONAL: Fundamentals of Communication Systems by John G. Proakis and Masoud Salehi, Pearson Education 2005. • • • •
Class Participation: Quizzes & Assignments: Midterm: Final:
10% 20% 30% 40%
Lecture Plan Weeks
Topics
Readings
1*
Signals and Signal Space
Chapter 2
2*
Analysis and Transmission of Signals
Chapter 3
3*
Amplitude Modulation and Demodulation DSB-SC, DSB-WC, SSB modulation/demodulation schemes. Performance of amplitude modulation in the presence of noise.
3*
Angle Modulation and Demodulation Frequency modulation, Phase modulation Performance of angle modulation in the presence of noise
Chapter 4 + Chapter 10
Chapter 5 + Chapter 10
MIDTERM 2*
Sampling and Analog to Digital Conversion
Chapter 6
Sampling theorem, quantization noise, pulse code modulation, delta modulation. 3*
Principles of Baseband Digital Data Transmission
Chapter 7
Line coding, pulse shaping, Scrambling, Regenerative Repeater, Detection-Error Probability, M-ary Communication, Eye diagram 2
Introduction to Information Theory Measure of information, source coding, error free communication over noisy channel, channel capacity
Chapter 14
