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EE 242 - Digital
Communication and Coding
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KING ABDULLAH UNIVERSITY OF
SCIENCE AND TECHNOLOGY
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Announcements |
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1. As we agreed, we decided to
have our class on Wednesday at 4:00 PM (to give you a chance to
study for the DSP final). This will be our very last class and
it will take place in our regular class room. It is very
important to attend this class for the following reasons
a. To take back your HW's and major II exam
b. To fill the class evaluation
c. To study a practical communication system (thus connecting
the various concepts that we covered in this class)
I hope to see you all there.
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Administrative Info |
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Instructor: Dr. Tareq Al-Naffouri, naffouri@kfupm.edu.sa
Office hours: Sat 10:00-11:00
Wed 1:00-2:30 PM
Course website:
http://faculty.kfupm.edu.sa/ee/naffouri/courses/ee242.html
Lectures: Sat-Wed 8:30-9:45 Room 3128, Building 9
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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 probability, random variables, stochastic processes, 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,
4th edition, McGraw-Hill Science/Engineering/Math, 2000
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Additional References |
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1. John R. Barry, David G.
Messerschmitt, and Edward A. Lee, Digital Communication, Springer;
2003
2. David Tse and Pramod Viswanath, Fundamentals of Wireless
Communication, Cambridge University Press
3. B. Sklar, Digital Communications: Fundamentals and Applications,
Prentice Hall, 2001
4. Theodore Rappaport, Wireless Communications: Principles and
Practice, 2nd Edition, Prentice Hall, 2001
5. Wozencraft and Jacobs, Principles of Communication Engineering,
1966.
6. S. Wilson, Digital Modulation and Coding, Prentice-Hall, 1995.
7. L. Couch, Digital and Analog Communication Systems, 1987. 5.
Bernard Sklar, Digital Communications:
8. R. G. Gallager Principles of Digital Communication, under
preparation, (Draft available online).
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Lectures |
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Lectures |
Reading Material |
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Lecture 01: The Communication Channel
[pdf] |
Proakis 1-12 |
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Lecture 02: Components of a
Digital Communication System [pdf] |
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Lecture 03: Sampling &
Quantization [pdf] |
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Lecture 04: Discrete Info
Sources & Entropy [pdf] |
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Lecture 05: Low Pass
Representation [pdf] |
Proakis 18-27 |
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Lecture 06: Vector & Signal
Space Concepts [pdf] |
Proakis 28-32 |
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Lecture 07: Gram Schmidt Procedure [pdf] |
Proakis 33-37 |
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Lecture 08: Discrete Data Transmission [pdf] |
Proakis 95-97 |
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Lecture 09: PAM & PSK [pdf] |
Proakis 94-103 |
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Lecture 10: QAM [pdf]
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Proakis 104-107 |
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Lecture 11: Optimum Receivers [pdf] |
Proakis 160-165 |
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Lecture 12: Optimum Receivers for AWGN
[pdf] |
Proakis 170-176
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Performance Analysis of PAM |
Proakis 188-190 |
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Union Bound [pdf] |
Proakis 182-186 |
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Multi-dimensional Signaling |
Proakis 108-110 |
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Comparison of Digital Signaling
Methods [pdf] |
Proakis 226-228 |
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Linear Block Codes [pdf] |
Proakis 400-401 & 411-413 |
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Homework Assignments |
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Homework will be assigned once every
two weeks. Collaboration is encouraged between students in all
matter of the course. However, each student should submit his own
homework.
Homework 1 [pdf]
Homework 2 [pdf]
Homework 3 [pdf]
Homework 4 [pdf]
Homework 5 [pdf]
Homework 6 [pdf]
Homework 7 [pdf]
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Major
Exams |
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Major Exam 1 [pdf]
Major Exam 2 [pdf]
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Projects |
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Suggested topics [pdf]
Project Evaluation [pdf]
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S. No. |
Projects |
pdf and Slide
show |
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1 |
Evaluating the Bit Error Rate of
Square M-QAM over the AWGN Channel |
[pdf]
[pps] |
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2 |
Alternative Representation of the
Gaussian Q Function |
[pdf]
[pps] |
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Performance Analysis of Outage Models |
[pdf]
[pps] |
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Cognitive Radio Protocol:
Implementation of Compressive Sensing Techniques for Optimum
Spectrum Utilization and Control Channels Optimization in Wireless
LANS |
[pdf]
[pps]
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Evaluating the Bit Error Rate for M-PSK |
[pdf]
[pps] |
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Signal Strength based Communication in
Wireless Sensor Networks |
[pdf]
[pps] |
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Maximum Likelihood Sequence Detection
& the Viterbi Algorithm |
[pdf]
[pps] |
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Channel Polarization and Polar Codes |
[pdf]
[pps] |
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A QPSK Modulator using Microwave
Couplers and Switches for Satellite Transmitter and its Performance
Analysis |
[pdf]
[pps] |
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Cooperative Spectrum Sensing for
Cognitive Radios |
[pdf]
[pps] |
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Maximum Likelihood Sequence Detection
(MLSD) and the Viterbi Algorithm |
[pdf]
[pps] |
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Performance Analysis Over Fading
channels |
[pdf]
[pps] |
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BER FOR SQUARE M-QAM |
[pdf]
[pps] |
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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 every 3 weeks or so or
whenever need be. 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:
| Homework
Assignments |
12% |
| Major Exam
I |
20% |
| Major Exam
II |
20% |
| Term Paper |
13% |
| Final Exam |
35% |
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