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EE 64 Linear System Theory

EE 64 Linear System Theory. M. R. Gustafson II Adjunct Assistant Professor Duke University. Introduction (Education). BSE in Electrical Engineering BSE, MS, and PhD in Mechanical Engineering and Materials Science Starting my twelfth year at Duke. Introduction (Military).

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EE 64 Linear System Theory

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  1. EE 64Linear System Theory M. R. Gustafson II Adjunct Assistant Professor Duke University

  2. Introduction (Education) • BSE in Electrical Engineering • BSE, MS, and PhD in Mechanical Engineering and Materials Science • Starting my twelfth year at Duke

  3. Introduction (Military) • Duke NROTC 1989-1993 • Lieutenant, U.S. Naval ReserveEngineering Duty Officer • Naval Research Laboratories Science and Technology Unit, Raleigh, NC

  4. Class Objectives • To learn the fundamental engineering mathematics of signal representations, linear system responses, convolution, and correlation, • To understand Fourier series, Fourier transforms, transfer functions, Laplace transforms, state variables, transfer functions, and stability, • To see discrete-time signals, z transforms, discrete-time Fourier transforms, and the fast Fourier transform, and • To meet other people in engineering.

  5. Introductions & Roll Call

  6. Resources (Books) • Signals & Systems, Alan V. Oppenheimer and Alan S. Willsky • Linear System Theory Lecture Notes, Dean McCumber

  7. Resources (Web) • OIT Guide • http://www.oit.duke.edu • http://www.oit.duke.edu/unix-manual • Class Web page • http://kepler.egr.duke.edu/EE64F00 • Syllabus, grading, assignment information, policies

  8. Resources (Newsgroup) • duke.courses.ee64 • The newsgroup will be used to post announcements and answer questions. • Use this to post items that are of interest to the rest of the class. • Students are allowed to answer questions as long as the answers are correct and do not violate the honor code!

  9. Resources (Public Clusters) • MAPLE, MATLAB, and SIMULINK will run on all acpub machines. They will also run over xwin32 and eXodus. • Public UNIX machines are in Teer (new!), Hudson Hall, Soc-Psych, Bio-Sci, Carr, West Duke, and Trent. • Check the OIT schedule to make sure there is no lab before entering - respect other people's lab times.

  10. Assignments and Grading • Breakdown: • (15%) Homework • (5%) Correlation Project • (10%) Stabilization Project • (15%) Radio Project • (15%) Test I • (15%) Test II • (25%) Final Exam

  11. Homework • Homework will be assigned each week and turned in the following week. Homework will consist of problems from the texts as well as some problems written up by the instructor.

  12. Projects • Correlation Project • Detect the presence of a sequence in a noisy signal using correlation • Radio Project • Build a working AM/FM radio and understand its major components • Analysis and Stabilization Project • Model a dynamic system and stabilize it analytically

  13. Tests • There will be three tests in this class -- two during the semester and one final exam.

  14. Course Web Page • kepler.egr.duke.edu/EE64F00 • Netscape on acpub • Web crawlers • Yahoo • Hotbot • Google • Unregulated information! Even less trustworthy than regular press :) • demonstration

  15. Course Newsgroup • duke.classes.ee64 • tin program • Finding groups • Posting messages • Saving messages • Mailing messages • demonstration

  16. Signals • What is a signal? • What is the difference between a continuous and a discrete signal? • What is "Xeno's Paradox?"

  17. Signal Power • Signal power is calculated assuming that the signal is a voltage on a 1 W resistor. Assuming you have a signal x(t), the power is:

  18. Average Signal Power • Given that definition, the average power of a signal x(t) between times t1 and t2 is: • The average power over all time is:

  19. Signal Energy • Signal energy is found by recalling that power is the rate of change of energy. Energy, therefore, is the integral of power, so:The total signal energy is:

  20. Power / Energy Signals • A power signal is a signal that has infinite total energy • An energy signal is a signal that has finite total energy and thus zero average power

  21. Signal Transformations • Given a signal x(t), a signal y(t) can be written based on x(t) using scaling and shifting • See scale_shift.mws for examples (all programs from class are in ~mrg/public/EE64F00)

  22. Signal Properties • A signal x(t) is periodic with period T if it has the property that there is some positive T for which x(t)=x(t+T) • A signal x(t) is even if x(t)=x(-t) • A signal x(t) is odd if x(t)=-x(-t)

  23. Even / Odd Parts • The even part of a signal is given by • The odd part of a signal is given by

  24. Next Time • Complex exponentials • Unit impulse and step functions • Systems and system properties

  25. Assignment for Wednesday • Check out the class web page • Check out the class newsgroup • Read Chapter 1 in Oppenheim & Willsky

  26. Class Feedback System • Four class members to present informal “status report” on how class and lab are going • Volunteers?

  27. Questions?? ?

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