Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE 522  Communication Theory  Spring 2010 Homework #5  Error Probability Calculations Date Assigned: Tuesday, March 18 Date Due: Tuesday, March 30 1) Consider the following 8 QAM signal constellation:
d
d
d
d
a)
Use the Union Bound to find a formula fo
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE 522  Communication Theorys  Spring 2010 Homework #4  Optimum Receiver Design
Assigned: Thursday, March 11 Due: Thursday, March 18 1) Consider the signal constellation from problem 1 of homework #3.
s1 ( t)
3 3
s 2 ( t)
t t
1 1 2 3 4
1
1
2
3
4
s 3
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE 522  Communication Theory  Homework #3 GramSchmidt Procedure and Encryption
Assigned: Thursday, March 4 Due: Thursday, March 11
1)
Consider the following signal constellation:
s1 ( t)
3 3
s 2 ( t)
t t
1 1 2 3 4
1
1
2
3
4
s 3 ( t)
3
s 4 ( t)
3
t
1
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE 552 Communication TheorySpring 2010 Homework #2  Optimal Scalar Quantization Techniques Date Assigned: Date Due: 1) Thursday, February 18 Thursday, February 25
Use the LloydMax algorithm to find the optimum 5 level quantizer for the pdf:
p( x) =
1
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522  Communication Theory  Spring 2010 Homework #1  Probability and Random Processes Date Assigned: Thursday, February 4, 2010
(1)
Date Due: Thursday, February 11 f A signal s (t ) having power spectral density s ( f ) = 8 10,000 is passed through a
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #15 Capacity and Channel
Coding with Block Codes
1
Announcements
Handout: Lecture #15 Notes
2
Channel Capacity
Let X represent the transmitted symbol at the input to a channel and l
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #14 MSK &
Performance of Measures: BER, Packet Error Rate Conclusion of Modulation
1
Minimum Shift Keying (MSK)  A Form of FSK
For FSK
For orthogonality
2
Orthogonality of FSK Sign
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #13 Noncoherent
Demodulation
1
Announcements
Homework #5 Distributed
Due Tuesday, March 30
Handouts:
Lecture Notes #13
2
Noncoherent Receivers
Up to this point, we have assumed that
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #12  The Union Bound
1
Announcements
HW #4 is due Thursday 3/18. Handouts:
Lecture Notes #12 HW #5 Due Thursday 3/30
2
Modulation
Modulation is used to transmit digital data over a
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Mar 16, Spring 2010 Instructor: Hwang Soo Lee Lecture #11 Probability of Error
Calculations for Optimal Receivers
1
Announcements
HW#4 Due Thursday 3/18 Midterm Exam Thursday 3/25, 10:3013:30
Covers material through Thursday 3
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Mar 11, Spring 2010 Instructor: Hwang Soo Lee Lecture #10 Optimum Receiver
Structures for Digital Modulation
1
Announcements
Project Proposals
Graded on a scale of 0 to 5
Midterm Exam Thursday 3/25, 10:3013:30
Covers material
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #9 Optimal Receiver Design
1
Announcements
Project Proposals HW #3 Due Thursday, March 11 Handout
Course Notes #9
2
Modulation
We want to modulate digital data using signal sets whi
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #8 Pulse Shaping,
Bandwidth Efficiency and Demodulation Structures
1
Announcements
Project Proposals
Due Thursday, March 9
HW #3 Due Thursday, March 11 Handout
Course Notes #8
2
A N
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #7 Review of Vector Spaces/Gram
Schmidt Procedure for Obtaining Basis Functions
1
Announcements
HW #2 Due February 25 Project Proposals Due March 9 Handouts:
Lecture #7
2
Block Dia
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #6 Speech Coding & Introduction
to SignalSpace Approach to Modulation
1
Announcements
HW #2 Due February 25 Project Proposals Due March 9
Some new project suggestions have been add
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communication Theory
Spring 2010 Instructor: Hwang Soo Lee Lecture #5 The Lloyd Max Algorithm & Speech Coding
1
Announcements
HW #2 Assigned.
Due next Thursday, February25
Handouts:
Course Notes #5 HW #2 Project Handout #1
Project Proposals March 9
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
Spring 2010 Instructor: Hwang Soo Lee
Lecture #4
NonUniform Quantization using the Lloyd Max Algorithm
1
Announcements
Handouts:
Course Notes #4
2
Block Diagram of Digital Communications
3
Digital Representation of Analog Sig
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
2010. 02. 09 Instructor: Hwang Soo Lee Lecture #3 Random Processes and Quantization
1
Announcements
Handout: Lecture #3 Notes Homework #1 is due Thursday 02/11.
2
Random Processes
A random variable has a single value. However,
Korea Advanced Institute of Science and Technology
communications theory
EE EE522

Spring 2010
EE522 Communications Theory
2010. 02. 04 Instructor: Hwang Soo Lee Lecture #2  Review of Probability and Random Processes
1
Announcements
Handout: Lecture #2 Notes Homework #1 is due Thursday, February 11
2
Why are Random Processes important?
Random Vari