EEL 4516 - Noise in Devices and Communication Systems

 

Catalog Description: (3cr) Origin, characterization and measurement of random noise. Calculation of signal-to-noise ratios and probability of errors in communication systems.

Prerequisites: Communication Systems and Components

Textbook: A First Course in Probability, Prentice Hall, 6th ed., Sheldon Ross, 2002 (ISBN 0-13-033851-6) and Modern Digital and Analog Communications Systems, B. P. Lathi, Oxford University Press, 3rd ed., 1998 (ISBN 0-19-511009-9)

Course Objective:  Upon completion of this course, the student should be able to: Use probability to model and analyze communications; Choose appropriate modulations based on system constraints; Design optimal demodulators (in terms of minimizing probability of error) for common signaling formats; Evaluate the error probability for common modulations; Evaluate the use of error-control coding with digital modulation

Professional Component: 3 credits of Engineering Science

Relationship to Outcomes:  (To view how the outcomes of this course fit in with the curriculum, click here)

• EE1 - knowledge of probability and statistics, including applications
• EE2 - knowledge of mathematics, basic and engineering sciences necessary to analyze and design complex systems
• EE3 - knowledge of advanced mathematics including linear algebra, complex variables and discrete mathematics
• a - an ability to apply knowledge of mathematics, science, and engineering
• b - an ability to design and conduct experiments, as well as to analyze and interpret data
• c - an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
• e - an ability to identify, formulate, and solve engineering problems
• i - a recognition of the need for, and an ability to engage in life-long learning
• j - a knowledge of contemporary issues
• k - an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

Class Schedule:  3 classes per week of 50 minutes each

Topics:

• Introduction of Probabability in Communications
• Random Signals: Probability; Random Variables; Statistical Decision Theory; Random Processes and Filtering of Random Processes
• Digital Communications: Signal formatting and baseband modulation; Baseband demodulation and detection; Bandpass modulation and demodulation; Basics of error control coding; Multiplexing and multiple access; Cellular communications; Spread-spectrum techniques

Course Committee:  Dr. Shea, Chair, Dr. Wong, Dr. Yang