**Instructor :** Alexander Barg, Professor, Department of Electrical and
Computer Engineering

Office: 2361

Tel./Fax (301) 405 7135/314 9281

E-mail abarg at umd.edu

**Class Schedule:**

Lectures: Tuesday, Thursday 11:00-12:15 Room EGR3106

Announcements

·

·
Posted on 4/14: Solutions to Prob. set 5, Practice 5;
Additional reading for 2nd midterm

·
Posted on 4/4: Problem set 5, Practice set 5,
solutions to h/work 4.

·
Posted on 3/18: results of midterm 1, Problem set 4
(official date of issue March 28)

· Posted on
3/14: Solutions to all problems.

· Posted on
3/9: Practice Set 3; Solutions to Practice Set 2; Reading assignment for
the 1st midterm.

· Practice
set with the same number as the home assignment set gives more problems
for the same topics as covered by this home assignment. Practice problems are assigned for
self-study. Their solutions will not be collected or graded but can be
discussed with the instructor.

**Office hours.** Watch for announcements on this page. If there are
none, the office hours will be

on Tuesday 2:00-3:00 AVW2361 and by appointment.

**Textbook:** The following textbook is required:

B.P. Lathi, Modern digital and analog communication systems 3rd ed. Oxford
University Press 1998, ISBN 0-19-511009-9

**Prerequisites:** ENEE 322 Signals and Systems, ENEE 324 Engineering
probability

**Course communication: **will be conducted through the class web
page http://www.ece.umd.edu/~abarg/420
and e-mail using the e-mail addresses of students registered in the university
system. I am expecting you to view this page and read your e-mail at least once
a week in order not to miss important announcements, postings of home
assignments, occasional corrections to problems, etc.

**Homework Assignments:** There will be several home assignments. A
subset of problems on each assignment will be graded. For instance, for a
homework of 6 problems I may decide to grade 3 solutions. You are expected to
submit solutions of all the problems. If not all the solutions are submitted,
your credit for this homework will be reduced proportionally. For instance, if
4 out of 6 problems were attempted, the 100% credit will be multiplied by
(2/3).

Deadline for submitting completed homework papers is one week after the day
they were assigned (if not indicated otherwise), * at the beginning of the
class*. Late papers will not be accepted.

Problem Set 1. Issued on Feb. 4 2006, due on Feb. 14 2006 Problems 2.1-2, 2.5-2, 2.8-3, 2.8-4 a,c,d

Problem Set 2. Issued on Feb.17, due on Feb. 28 Problems 3.1-4, 3.1-6, 3.3-3, 3.3-9, 3.7-5

Practice Set 2. 3.1-5, 3.2-1, 3.2-3, 3.3-8, 3.7-2, 3.7-4

Problem Set 3. Issued on March 3, due on March 14. Problems 6.1-2, 6.1-3, 6.2-6, 6.2-10

Practice Set 3. 6.2-8, 7.2-2, 7.3-3(b)

Reading assignment for 1st midterm:

Midterm 2:

Chapter13:

** Examinations:** Two midterm exams and one final. All the exams are in-class,
closed-book (up to 2 pages of notes are allowed, 8.5x11 paper, single side
only). The **Midterm exams** will be held on March 16 and April 18. **
Final Exam **is**
**on Saturday May 13, 8:00-10:00 am

**Grading Policy:** Homework 10%, midterms and final 30% each.

**Course objective: **Communication is
the process by which a message generated at one point is represented by a
signal which is transmitted through an imperfect medium to a receiver, where
the message is reconstructed. The goals of this course include:

- an understanding of the basics of transmitter and receiver processing, including data compression, modulation and demodulation;
- an appreciation of the time/frequency representation of signals and its application in studying various kinds of modulation schemes;
- a sound understanding of how the characteristics of various analog and digital modulation schemes affect their performance;
- insight into the role of random processes in communication systems analysis . both as a model for system noise and as a model for message generation.

**Course topics: **

- Representation of periodic and aperiodic signals.
- Pulse modulation: Sampling, pulse-amplitude modulation, quantization, pulse code modulation.
- Amplitude modulation: Conventional AM, suppressed carrier AM, single sideband AM; time and frequency representation, bandwidth requirements, power efficiency, coherent and envelope detection.
- Frequency modulation: Time and frequency representation, bandwidth requirements, demodulation techniques.
- Digital modulation . phase shift keying, frequency shift keying, amplitude shift keying.
- Elements of information theory: data compression, error correction
- Performance of modulation systems in the presence of noise.