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EE 477
Title: DIGITAL COMMUNICATION
Credits: 4
Catalog Description:
Stochastic
processes. Noise analysis in analog communication. Data transmission
through AWGN channel, bandpass data transmission, equalization. Optimum
receiver design, carrier
and pulse synchronization. Error probabilities for binary/m-ary
transmission. Carrier modulation : CAM, CPM, CFM, QAM and their
performances. Entropy, quantization and rate distortion, information
sources, channel capacity, coding.
Prerequisites: EE
374, MATH 343.
Coordinator:
Ayşın Ertüzün, Professor of Electrical Engineering
Goals:
The course covers basic principles of digital communication.
It begins with a review of probability theory and continues with
an introduction to stochastic processes, which is a tool for statistical
analysis of communication systems. The analysis and design of digital
communication systems are discussed. Discrete pulse and digital carrier
modulation schemes are covered.
Learning
Objectives:
At the
end of this course, students will be able to:
-
Analyze
stochastic signals
-
Designbulding blocks of baseband and
passband digital communication systems such as pulse shaping
filters, correlative coders
-
Analyze
modulation schemes used in passband data transmission
-
Compute
probabiliry of error for different modulation schemes
-
Design
optimal recievers in the form of matched
filter and correlative recievers
Textbook:
Simon
Haykin, Communication Systems,
John Wiley & Sons Inc., 2001 (4/e)
Reference
Texts:
- Wozencraft, Jacobs,
Principles
of Communication Engineering,
- M. Schwartz,
Information,
Transmission, Modulation and Noise,McGraw Hill, 1990 (4/e).
- Haykin,
Digital Communication,
John Wiley and Sons, 1989.
- S.
Haykin, Introduction to Analog
and Digital Communications, John Wiley and Sons, 1988.
- K. S. Shanmugan,
Digital and Analog Communication Systems, John Wiley and Sons,
1985.
- Skyler,
Digital Communication,
- H.
Stark, F. B.Tuteur, J.B.Anderson,
Modern
Electrical Communication, Prentice Hall, 1988.
- Schwartz,
Bennette, Stein, Communication
Systems and Techniques,
- A.
B. Carlson, Communication
Systems: An Introduction to Signals and Noise in Electrical
Communication, McGraw Hill, 1986 (3/e).
Prerequisites
by Topic:
-
Probability
-
Analog
Communications
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Sampling
-
Quantization
-
Pulse
Digital Modulation Schemes
Topics:
-
Random Processes
(2 Weeks)
-
Baseband Pulse Transmission
(3 weeks)
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Signal Space Analysis (3 weeks)
-
Passband Digital Transmission (4 weeks)
-
Introduction to information theory and its
implications for digital communication systems (Time permitting)
Course
Structure: The class meets for two lectures a week, each consisting
of two 50-minute sessions. 5-6 sets of homework problems are assigned
per semester. There are two
in-class mid-term exam and a final exam.
Computer
Resources: None.
Laboratory
Resources: Concurrently with EE 479 – Communication Laboratory
Course
Grading:
-
Homework
sets (10%)
-
Two
Midterms (25% each).
-
Final
exam (40%).
Outcome Coverage:
-
Apply math, science and
engineering knowledge. This course
covers the principles of digital communication. Statistical
communication and state space analysis for communication systems are
heavily emphasized in lectures, homework sets and exams.
-
Design a system, component or
process to meet desired needs.
Designing bulding blocks of baseband and passband digital
communication systems such as pulse shaping filters, correlative
coders, optimal recievers in the form of matched filter and
correlative recievers takes more than half of the course time.
Prepared By:
Ayşın Ertüzün
Last Revised:
May 16, 2003
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