Instructor: |
Assoc.Prof.Tansu FİLİK
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Teaching Assistants: |
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Course Book: |
Henry Stark & John W. Woods () Probability, Random Processes with Applications to Signal Processing, 3rd edition
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Grading: |
2 Midterms: 45% Final: 40% Classwork (attendance & hws & quizzes) 15%
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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)
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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
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2. Week
Review of the Theory of Random Variables and Random Vectors
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3. Week
Review of the Theory of Random Variables and Random Vectors
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4. Week
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5. Week
Correlation functions, stationarity
HW # 5 : Problem Set 1, due date: 04/11/2019
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6. Week
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7. Week
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8. Week
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9. Week
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10. Week
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11. Week
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