Catalog Data 
ECEN 4242 (3). Communication Theory.
Covers modern digital and analog communication systems, Fourier
analysis of signals and systems, signal transmission, amplitude
modulation, angle modulation, digital communication systems,
and the behavior of communication systems in the presence of
noise, including both analog and digital systems. 
Credits and Design 
3 credit hours. Selected elective course. 
Prerequisite(s) 
ECEN 3300,
Linear Systems
ECEN 3810,
Introduction to Probability Theory

Corequisite(s) 
none. 
Instructor(s) 
Timothy Brown, Eugene Liu, Peter Mathys, Mahesh Varanasi. 
Textbook 
Michael P. Fitz, Fundamentals of Communications Systems,
McGrawHill, 2007, ISBN13: 978071482806, and/or
Jerry D. Gibson, Principles of Digital and Analog Communications,
2nd Edition, Prentice Hall, 1993, ISBN 0023418605. 
 

Course Objectives 
For students to:
 Understand how to model, analyze, and design the deterministic signal
generation and processing aspects of analog and digital communication
systems.
 Understand the need to use probability theory and random processes to
design and analyze realworld communication systems and to predict their
performance in the presence of noise and interference.
 Prepare for more advanced communications courses covering topics such
as advanced modulation, demodulation and channel modelling methods, data
networking, information theory, and secrecy and error control coding.

Learning Outcomes 
After taking this course students will be able to recognize and use
the following concepts, ideas, and/or tools:
 Baseband signaling, including pulse amplitude
modulation (PAM), partial response signaling, sampling, bandwidth
requirements, and extraction of timing signals.
 Bandpass signaling, including amplitude,
phase, frequency modulation (AM, PM, FM), carrier synchronization, complex
baseband representation of real bandpass signals, amplitude, phase,
frequency shift keying (ASK, PSK, FSK), quadrature amplitude modulation (QAM),
signal constellations, orthogonal frequencydivision multiplexing (OFDM),
and spread spectrum communications.
 Communications in the presence of noise and
interference, real and complex valued noise signals, matched filters,
intersymbol interference (ISI), probability of symbol errors, and
error control coding.

Student Outcomes Addressed 
3a 
3b 
3c 
3d 
3e 
3f 
3g1 
3g2 
3h 
3i 
3j 
3k 
Math /Sci 
Exper iments 
Design 
Teams 
Engr Problems 
Respon sibility 
Oral 
Written 
Engr Solns Impact 
LL Learning 
Contem porary 
Tools 
H 



M 






L 

Topics Covered 
 Introduction
 Fourier transforms (review)
 Filters, real and ideal
 Sampling theorem, pulse amplitude modulation (PAM)
 Intersymbol interference (ISI), partial response signaling
 Noise, matched filter receiver, probability of error
 Channel equalization, error control coding, Viterbi decoding
 Amplitude modulation (AM)
 Phase modulation (PM), frequency modulation (FM)
 Complex lowpass representation of real bandpass signals
 Amplitude shift keying (ASK)
 Phase shift keying (PSK), frequency shift keying (FSK)
 Hybrid ASK/PSK, signal constellations
 Orthogonal frequencydivision multiplexing (OFDM)
 Spread spectrum communications
 Communication standards
