Office hours: Tu Th 2:00-3:15 AVW 2353
TuTh 11:00-12:15 EGR 2103
ENEE 322: Signals and systems
ENEE 324: Engineering probability
Required topics: (i) elementary signal theory (Fourier series, Fourier/Laplace transforms,
convolution); (ii) random variables (probability distribution functions, probability mass
functions, expectations, transformations, etc.).
Required: S. Haykin, Communication Systems, Fourth Edition, John Wiley & Sons, New
York (NY) (2001).
Communication is the process by which a message generated at one point is repre-
sented by a signal which is transmitted through an imperfect medium to a receiver, where
the message is reconstructed. The goals of this course include:
an understanding of the basics of transmitter and receiver processing, including
data compression, modulation and demodulation;
an appreciation of the time/frequency representation of signals and its application
in studying various kinds of modulation schemes;
a sound understanding of how the characteristics of various analog and digital
modulation schemes affect their performance;
insight into the role of random processes in communication systems analysis .
both as a model for system noise and as a model for message generation.
The final grade for the course will be based on two tests and a final exam, as well as
homework; their respective contributions to the final grade are given below. All three examinations,
which will be of the closed book variety, will be conducted in the classroom.