||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.
Introduction to Probability Theory
||Timothy Brown, Eugene Liu, Peter Mathys, Mahesh Varanasi.
||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.
For students to:
- Understand how to model, analyze, and design the deterministic signal
generation and processing aspects of analog and digital communication
- 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.
- 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.
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 frequency-division 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.
- 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 frequency-division multiplexing (OFDM)
- Spread spectrum communications
- Communication standards
Last revised: 05-16-11, PM, ARP.