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ECEN 4242 - Communication Theory


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, McGraw-Hill, 2007, ISBN-13: 978-0-7148-280-6, and/or

Jerry D. Gibson, Principles of Digital and Analog Communications, 2nd Edition, Prentice Hall, 1993, ISBN 0-02-341860-5.

  
Course Objectives For students to:
  1. Understand how to model, analyze, and design the deterministic signal generation and processing aspects of analog and digital communication systems.
  2. Understand the need to use probability theory and random processes to design and analyze real-world communication systems and to predict their performance in the presence of noise and interference.
  3. 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:
  1. Baseband signaling, including pulse amplitude modulation (PAM), partial response signaling, sampling, bandwidth requirements, and extraction of timing signals.
  2. 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 frequency-division multiplexing (OFDM), and spread spectrum communications.
  3. 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
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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
  1. Introduction
  2. Fourier transforms (review)
  3. Filters, real and ideal
  4. Sampling theorem, pulse amplitude modulation (PAM)
  5. Intersymbol interference (ISI), partial response signaling
  6. Noise, matched filter receiver, probability of error
  7. Channel equalization, error control coding, Viterbi decoding
  8. Amplitude modulation (AM)
  9. Phase modulation (PM), frequency modulation (FM)
  10. Complex lowpass representation of real bandpass signals
  11. Amplitude shift keying (ASK)
  12. Phase shift keying (PSK), frequency shift keying (FSK)
  13. Hybrid ASK/PSK, signal constellations
  14. Orthogonal frequency-division multiplexing (OFDM)
  15. Spread spectrum communications
  16. Communication standards

Last revised: 05-16-11, PM, ARP.