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