Probability and Random Variables - Processes for Wireless Communications

Probability and Random Variables - Processes for Wireless Communications

NOC15 Sep-Oct EC07 via YouTube Direct link

Gaussian Random Variable and Linear Transformation

15 of 24

15 of 24

Gaussian Random Variable and Linear Transformation

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Probability and Random Variables - Processes for Wireless Communications

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  1. 1 Probability and Random Variables/ Processes for Wireless Communications
  2. 2 Basics - Sample Space and Events
  3. 3 Axioms of Probability
  4. 4 Conditional Probability - Mary-PAM Example
  5. 5 Independent Events - Mary-PAM Example
  6. 6 Independent Events - Block Transmission Example
  7. 7 Independent Events - Multiantenna Fading Example
  8. 8 Bayes Theorem and Aposteriori Probabilities
  9. 9 Maximum Aposteriori Probability (MAP) Receiver
  10. 10 Random Variables, Probability Density Function (PDF)
  11. 11 Application: Power of Fading Wireless Channel
  12. 12 Mean, Variance of Random Variables
  13. 13 Application: Average Delay and RMS Delay Spread of Wireless Channel
  14. 14 Transformation of Random Variables and Rayleigh Fading Wireless Channel
  15. 15 Gaussian Random Variable and Linear Transformation
  16. 16 Special Case: IID Gaussian Random Variables
  17. 17 Application: Array Processing and Array Gain with Uniform Linear Arrays
  18. 18 WSS Example Narrowband Wireless Signal with Random Phase
  19. 19 Random Processes and Wide Sense Stationarity (WSS)
  20. 20 Power Spectral Density (PSD) for WSS Random Process
  21. 21 PSD Application in Wireless Bandwidth Required for Signal Transmission
  22. 22 Transmission of WSS Random Process Through LTI System
  23. 23 Special Random Processes Gaussian Process and White Noise AWGN Communication Channel
  24. 24 Gaussian Process Through LTI System Example: WGN Through RC Low Pass Fillter Not Started

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