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Autocorrelation and Power Spectral Density (PSD) Examples in Digital Communications
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Classroom Contents
Probability and Random Processes
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- 1 What is a Random Variable?
- 2 What is a Probability Density Function (pdf)? ("by far the best and easy to understand explanation")
- 3 What is a Cumulative Distribution Function (CDF) of a Random Variable?
- 4 Expectation of a Random Variable Equation Explained
- 5 What is a Gaussian Distribution?
- 6 What is a Chi Square Distribution? with examples
- 7 What is a Random Process?
- 8 Autocorrelation and Power Spectral Density (PSD) Examples in Digital Communications
- 9 What is the Central Limit Theorem?
- 10 What are Maximum Likelihood (ML) and Maximum a posteriori (MAP)? ("Best explanation on YouTube")
- 11 Testing Random Data Models: Pearson Chi Square Test
- 12 What does Wide Sense Stationary (WSS) mean?
- 13 What is a Moment Generating Function (MGF)? ("Best explanation on YouTube")
- 14 What is the Chernoff Bound?
- 15 How are erf(.), Q(.), and Gaussian Tails Related?
- 16 Three Door Gameshow Problem Explained
- 17 What is the Characteristic Function of a Random Variable?
- 18 Moment Generating Function of a Gaussian
- 19 What is Least Squares Estimation?
- 20 What is a Poisson Process?
- 21 What is Conditional Probability?
