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EE 242 / EE 571 - Digital
Communication and Coding
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KING ABDULLAH UNIVERSITY OF
SCIENCE AND TECHNOLOGY
KING FAHD UNIVERSITY OF
PETROLEUM AND MINERALS
Syllabus
[download]
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Announcements |
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Solution to HW 4 can now be
accessed.
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Administrative Info |
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Instructor: |
Dr. Tareq
Y. Al-Naffouri |
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Office: |
Building 3, Room 303 (KAUST) |
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Building 59, Room 1085 (KFUPM) |
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Office hours (Tentative):
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KFUPM
Sunday: 10:00 AM-12:00 PM
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• KAUST
Saturday: 10:30 AM -12:00 PM
Tuesday: 1:00 PM - 2:30 PM |
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Email:
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Course website:
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http://faculty.kfupm.edu.sa/ee/naffouri/courses/ee242.html |
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Course Description |
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This course is designed to introduce
to the student the fundamentals of the theory of communications and
coding, in particular of digital communications. The course will
provide in-depth knowledge of communication fundamentals, which
include Digital
transmission of information across discrete and analog channels.
Sampling; quantization; noiseless source codes for data compression:
Huffman’s algorithm and entropy; block and convolutional channel
codes for error correction; channel capacity; digital modulation
methods: PSK, MSK, FSK, QAM; matched filter receivers. Performance
analysis: power, bandwidth, data rate and error probability.
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Text
Book |
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J. Proakis, Digital Communications,
5th edition, McGraw-Hill Science/Engineering/Math, 2006
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Additional References |
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John R. Barry, David G.
Messerschmitt, and Edward A. Lee, Digital Communication, Springer;
2003
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David Tse and Pramod Viswanath, Fundamentals of Wireless
Communication, Cambridge University Press
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B. Sklar, Digital Communications: Fundamentals and Applications,
Prentice Hall, 2001
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Theodore Rappaport, Wireless Communications: Principles and
Practice, 2nd Edition, Prentice Hall, 2001
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R. G. Gallager, Principles of Digital Communication, under
preparation, (Draft available online).
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B. P. Lathi,
Zhi Ding, Modern Digital and Analog Communication System.
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EE379A - Digital Communication: Signal Processing,
Stanford University.
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Lectures |
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Lectures |
Reading Material |
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Lecture 01: Components of a
Digital Communication System
[pdf] |
Notes |
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Lecture 02: The Communication Channel
[pdf] |
Proakis pp. 1-12 |
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Lecture 03: Sampling &
Quantization [pdf] |
Notes |
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Lecture 04: Discrete Info Sources &
Entropy [pdf] [pdf] |
Notes |
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Lecture 05: Discrete Data Transmission [pdf] |
Proakis pp. 95-97 |
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Lecture 06: Vector & Signal Space
Concepts [pdf] |
Proakis pp. 28-32 |
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Lecture 07: Gram-Schmidt Procedure [pdf] |
Proakis pp. 33-37 |
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Lecture 08: Optimum Receivers [pdf] |
Proakis pp. 160-167 |
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Lecture 09: Optimum Receivers for AWGN [pdf] |
Proakis pp. 170-174 |
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Lecture 10: PAM [pdf] |
Proakis pp. 98-101, 188-189 |
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Lecture 11: QAM |
Proakis pp. 103-107, 196-200 |
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Lecture 12: PSK and DPSK [pdf] |
Proakis pp. 101-103, 190-194 |
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Lecture 13: Union Bounds [pdf] |
Proakis pp. 182-188 |
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Lecture 14: Multi-dimensional Signals [pdf] |
Proakis pp. 108-110, 112-114, 203-210 |
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Lecture 15: Bit Error Probability and
rate [pdf] |
Cioffi pp. 39-40 |
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Lecture 16: Comparison of Digital
Signaling Schemes
[pdf] |
Proakis pp. 226-229 |
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Lecture 17: Channel Capacity
[pdf] |
Proakis pp. 354-361, 365-367 |
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Lecture 18: Block Codes
[pdf] |
Proakis pp. 411-414, 428-434 |
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Homework Assignments |
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Homework will be assigned
approximately biweekly. Collaboration is encouraged between students in all
matter of the course. However, each student should submit his own
homework.
Homework 1 [pdf] [Solution]
Homework 2 [pdf] [Solution]
Homework 3 [pdf] [Solution]
Homework 4 [pdf] [Solution]
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Major
Exams |
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Projects |
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Problem Sessions |
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This course will require lots of
practice to understand the course material. As such, I will carry
one problem session outside class hours on a need basis. Attendance is optional but is highly encouraged.
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Grading Policy (Tentative) |
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Students will be assigned grades on
the following basis:
| Homeworks
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20% |
| Major Exam
I |
20% |
| Major Exam
II |
20% |
| Final Exam |
40% |
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