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Probability & Random Variables
Course Description
This course, Probability & Random Variables, has 40 video lectures with Professor M. Chakraborty, Department of Electronics and Electrical Communication Engineering, I.I.T., Kharagpur.

Prof. M. Chakraborty on Lecture 8, Function of a Random Variable (Cont.).
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I need material in advanced digital signal processing
A complete theory course on Probability with the following
broad topics, based on the book by A. Papaulin.
1) Axioms of Probability
2) Random Variable
3) Functions of Random Variable
4) Joint moment and densities
5) Random Sequence
After the theory the professor introduces Random Processes
and applies the theory developed in the class till that
point.
6) Random Processes
7) Stationarity
8) Ergodicity
9) Spectral Analysis
Then he go into some applied statistics which again builds
upon the ideas discussed before
10) Spectral Estimation
11) Mean Square Estimation