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EEM 409 - Random Signals

Instructor: Asst.Prof.Tansu FİLİK
Teaching Assistants:
Course Book: Henry Stark & John W. Woods () Probability, Random Processes with Applications to Signal Processing, 3rd edition
Grading: 2 Midterms: 45% Final: 40% Classwork (attendance & hws & quizzes) 15%
Other Resources: 1) Simon Haykin () Communication Systems, 4th edition 2) Leon W. Couch, II () Digital and Analog Communication Systems, 7th edition, Prentice Hall 3) John G. Proakis & Masoud Salehi, Communication Systems Engineering, 2nd edition 4)
Course Outline:
1. Week

Review of the Theory of Random Variables and Random Vectors

To review probability theory you may use Appendix 1 of Communication Systems - 4ed - Haykin. 

Prerequisite: IST 213 and EEM 305

 


2. Week

Review of the Theory of Random Variables and Random Vectors


3. Week

4. Week

5. Week

Correlation functions, stationarity


6. Week

7. Week

8. Week

9. Week

10. Week

11. Week

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