SEM-V ECE Engg.: Stochastic Proc.

1 sections • 18 lectures • 03h 54m total length

	Lecture 01 Introduction		01:31:28min
	Lecture 02 Concept of Probability		56:35min
	Lecture 03 Conditional Probability, Bernauli Trials, Total Probability Theorem, Baye's Theorem		01:26:34min
	Lecture 04 Discrete Random Variable and Continuous Random variable		48:02min
	Lecture 05 Probability Distribution Function, Probability Density Function		01:17:07min
	Lecture 06 Uniform RV, Exponential RV, Laplacian RV		01:11:23min
	Lecture 07 Probability Mass Function, Numericals on Conditional Probability, Numericals on Probabiolity Density Function. Numericals on Discrete		01:34:15min
	Lecture 08 Gaussian RV, Relaigh RV		01:00:55min
	Lecture 09 Binomial RV, Poisson RV		21:17min
	Lecture 10 Joint Distributions		01:05:19min
	Lecture 11 Correlation, Covariance, Correlation Coefficient, Variance for Joint R.V.		01:21:02min
	Lecture 12 Characteristic Function of a Random variable, Numericals		01:25:26min
	Lecture 13 Central Limit Theorem, Numericals		01:22:41min
	Lecture 14 Functions of One & two Random Variables		01:51:22min
	Lecture 15 Joint PDF of unknown R.V.		01:09:09min
	Lecture 16 Auto Correlation, Cross Correlation		45:53min
	Lecture 17 properties of Auto Correlation, Spectral Debsities		01:06:28min
	Lecture 18 Auto Correlation Function of different signals		51:25min

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