CSCE 3020: Communication Systems (Fund of Communication Theory)

Spring 2008

 

Course Description:

 

3 hours. Introduction to the concepts of transmission of information via communication channels. Amplitude and angle modulation for the transmission of continuous-time signals. Analog-to-digital conversion and pulse code modulation. Transmission of digital data. Introduction to random signals and noise and their effects on communication. Optimum detection systems in the presence of noise.

http://www.cse.unt.edu/~rakl/class3020/csce3020.html

 

 Instructor:

 

Dr. Robert Akl, NTRPF229, (940) 565-2804, rakl@cse.unt.edu.

 

TA:

 

TBD.

 

Class Hours:

 

Mondays and Wednesdays, 3:30 pm – 4:50 pm, NTRP G 134C.

 

Office Hours:

 

Mondays and Wednesdays, 1:00 – 2:00 pm, or by appointment.

 

Text:

 

Signals and Systems: Analysis Using Transform Methods and MATLAB, M. J. Roberts, McGraw Hill, 2004.

ISBN 0-7-293044-6.

Supplemental text: MATLAB 7 R14 Student Edition

 

Grading:

MAKE SURE YOU TAKE THE EXIT SURVEY BELOW

AND BRING THE RECEIPT TO THE FINAL EXAM

http://www.cse.unt.edu/exitSurvey.php?CSCE+3020+001

 

Homework

10 %

Attendance and Participation:

10 %

Quizzes:

10 %

Project:                       

10 %

Midterm:

20 %

Final:

40 %

Syllabus CSCE 3020: Communication Systems

 

Introduction (Chapter 1 – 1 Lecture), Chapter1.pdf

           Types of Signals

                 

                  HW 1: due January 16, 2008 

 

Fourier Transform Analysis of Signals and Systems (Chapter 6 – Lectures), Chapter6.pdf

           Frequency Response

                  Ideal Filters

                  Communication Systems

                  Spectral Analysis      

 

                  HW 2: P 23(a), 24(b), 34, 36, and 46(a).

                                         

Sampling and the Discrete Fourier Transform (Chapter 7 – Lectures), Chapter7.pdf

                  Sampling Methods

                  Representing a Continuous-time Signal by Samples

                  Sampling Discrete-time Signals

 

                  HW 3: P 28, 33(a,b), 39, and 41.

                  Project 1: P 27 and 45. Turn in your code and solutions.

       

Midterm Exam

                  Wednesday before spring break.

 

Correlation, Energy Spectral Density, and Power Spectral Density (Chapter 8 – Lectures), Chapter8.pdf

                  Correlation and the Correlogram

                  Autocorrelation

                  Cross Correlation

                  Energy Spectral Density

                  Power Spectral Density

 

                  HW 4: P 19a, 21 (x1 and x2), 23(a and c), and 24 (a and b).

 

Laplace Transform Analysis of Signals and Systems (Chapter 10 – Lectures), Chapter10.pdf

                  Transfer Functions

                  System Stability

                  Pole-Zero Diagrams

                  Analog Filter Design

                   

                  HW 5: P 33(a and b), 34(a and b), 44(a and b), 48 (a), and 49(a).

                 

z-Transform Analysis of Signals and Systems (Chapter12 – Lectures), Chapter12.pdf

                  Transfer Functions

                  Pole-Zero Diagrams

                  Digitals Filters

 

                  HW 6: 12a, 13a, 24a, 27a, and 33a.

   

 Final Exam

                  Wednesday May 7th, 1:30 – 3:30 pm. DonŐt forget to take the exit survey. The link is right below the grading link.