# Probability and Random Processes Video Lectures

Probability and Random Processes
'Probability and Random Processes' Video Lectures by Prof. Mrityunjoy Chakraborty from IIT Kharagpur
 "Probability and Random Processes" - Video Lectures 1. Introduction to the Theory of Probability 2. Axioms of Probability 3. Axioms of Probability (Contd.) 4. Introduction to Random Variables 5. Probability Distributions and Density Functions 6. Conditional Distribution and Density Functions 7. Function of a Random Variable 8. Function of a Random Variable (Contd.) 9. Mean and Variance of a Random Variable 10. Moments 11. Characteristic Function 12. Two Random Variables 13. Function of Two Random Variables 14. Function of Two Random Variables (Contd.) 15. Correlation Covariance and Related Innver 16. Vector Space of Random Variables 17. Joint Moments 18. Joint Characteristic Functions 19. Joint Conditional Densities 20. Joint Conditional Densities (Contd.) 21. Sequences of Random Variables 22. Sequences of Random Variables (Contd.) 23. Correlation Matrices and their Properties 24. Correlation Matrices and their Properties 25. Conditional Densities of Random Vectors 26. Characteristic Functions and Normality 27. Tchebycheff Inequality and Estimation of an Unknown Parameter 28. Central Limit Theorem 29. Introduction to Stochastic Process 30. Stationary Processes 31. Cyclostationary Processes 32. System with Random Process at Input 33. Ergodic Processes 34. Introduction to Spectral Analysis 35. Spectral Analysis Contd. 36. Spectrum Estimation - Non Parametric Methods 37. Spectrum Estimation - Parametric Methods 38. Autoregressive Modeling and Linear Prediction 39. Linear Mean Square Estimation - Wiener (FIR) 40. Adaptive Filtering - LMS Algorithm
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