UF School of ECE                                               College of Engineering










 

EEL 5544: Noise in Linear Systems




 



Fall 2003 ( 1558X)





Instructor

 
 

Dr. Janise McNair 
Email: mcnair@ece.ufl.edu
Office Hours: Monday and Wednesday, 9:30am-11:30am  **NOTE CHANGE**
Location: NEB 457
 



Teaching
Assistants

 
 

Jing Zhao
Email: jingzhao@ufl.edu
Office Hours:  Monday, Wednesday and Thursday, 12:40pm-1:40pm  (Period 6)
Office Location: LAR 139

Johny Kwon
Email: ohbong70@ufl.edu
Office Hours: Monday, Wednesday and Thursday, 1145am-1235pm  (Period 5)
Office Location: NEB 406A




  Class Schedule 

 


 

Classroom:
  • NEB 201
 

Class Times:
  • MWF, Period 2 (8:30am-9:20am)
    Note: Additional lecture time may occassionally be scheduled -- specific times will be announced on student access website




Student Access
 Website
(Available on Sept 1)



The student access website will be used for class handouts, assignments, course announcements, course schedule and other required information.
Participation in and regular access to this website is required for this course.
Web site will be available on September 1
.


Note: Your gatorlink login and password are required to access the student website.

The FEEDS (video lecture) website is here: http://www.oeep.eng.ufl.edu





Class
Schedule




Now available on webct.
If you still do not have access, please contact the instructor.




Course
Description



Passage of electrical noise and signals through linear systems. Statistical representation of random signals, electrical noise, and spectra.
 




Prerequisites


 

  • Solid understanding of systems theory, including convolution, Fourier transforms,
    and impulse functions. Elementary circuit theory, including transfer function concepts.

  • Computer requirement: Some problems will requireMATLAB. Students may want to purchase the student version of MATLAB to ensure access to the software as needed. Note: Not being able to access a public computer will not be a valid excuse for late or missing homework assignments.



 
Required
Textbook

 




Reference
Textbooks

 

  •  Michael B. Pursley, Random Processes in Linear Systems, Prentice
    Hall, 2002 (ISBN 0-13-067391-9) 
  • Athanasios Papoulis and S. Unnikrishna Pillai, Probability, Random Variables and Stochastic Processes, McGraw Hill, 4th ed., 2002 (ISBN 0-07-112256-7)
  • John J. Komo, Random Signal Analysis in Engineering Systems, Academics Press, 1987 (ISBN 0-12-418660-2) 
  • Yannis Viniotis, Probability and Random Processes for Electrical Engineers, McGraw Hill, 1997 (ISBN 0-07-067491-4)





Topics
(as time permits)

 
 
 
 
 
 
 
 
 
 
 
 
 
 

• Sets and set operators, Venn diagrams
• Probability spaces and axioms of probability
• Combinatorial (counting) analysis
• Conditional probability, total probability and Baye’s rule
• Statistical independence
• Sequential experiments
• Single random variables and types of random variables
• Important random variables
• Distribution and density functions
• Functions of one random variable
• Expected value of a random variable
• Mean, variance, standard deviation, Nth moment, Nth central moment
• Markov and Chebyshev inequalities
• Transform methods: Characteristic and generating functions, Laplace transform
• Generating random variables
• Multiple random variables
• Joint and marginal distribution and density functions
• Functions of several random variables
• Joint moments and joint characteristic functions
• Conditional expected value
• Laws of large numbers and the central limit theorem
• Random processes
• Mean, autocorrelation, and autocovariance functions
• Stationarity
• Time-invariant filtering of random processes
• Power spectral density
• Matched filters and Weiner optimum systems
• Markov chains
• Examples of practical applications of the theory

 


 
Course
Policies

 
 
 
 
 
 
 
 
 
 
 
 







  • Attendance:
    • Perfect class attendance is not required, but regular attendance is expected, and a class participation grade will be assigned.
    • It is the student's responsibility to independently obtain any missed material (including handouts) from lecture. Lecture notes will not be provided.
    • There will be no make-up exams. 
  • Late Assignments: 
    • Most ECE courses have too many students to expect the instructor or the TA to keep track of late assignments. They may be misplaced or may result in delayed or missing grades. Therefore, the following late policy will be applied with no exceptions.
    • First late assignment = grade reduction of 25% , if it is received before the solutions are posted. (Otherwise, the grade will be zero.)
    • All other late assignments =  grade of zero .
    • FEEDS students: Any deadline adjustments due to work schedule/travel must be pre-approved by the instructor.
  • Individual Effort: All assignments are assumed to be an individual effort unless otherwise specified by the instructor.
  • Announcements: 
    • All students are responsible for announcements made in lecture, on the student access website, or via the class email list.
    • It is expected that you will check your gatorlink email and the student access website several times per week (preferrably the night before each lecture) for possible course announcements.
  • Students with disabilities: 
    • For information on classroom accommodation and requirements for instructor notification, please click here .





Academic
Honesty

 
 





 
 


  • All students admitted to the University of Florida have signed a statement of academic honesty committing themselves to be honest in all academic work and understanding that failure to comply with this committment will result in disciplinary action.
  • This statement is a reminder to updhold your obligation as a student at the University of Flordia, and to be honest in all work submitted and exams taken in this class and all others.

    For more information, please see the academic  honor code.





Grading

Grades
Percentage  
Dates
HOMEWORK
15%
Due every two weeks
EXAM 1
25%
September 29, 2003
EXAM 2
25%
October 27, 2003
FINAL EXAM
(cumulative)
30%
December 8, 2003
IN-CLASS  GRADE
5%
Discretionary grade assigned
by instructor, includes pop quizzes,
class participation, disruptive
behavior, tardiness, etc.