Probability and Random Processes IIT Kharagpur Course , Prof. Mrityunjoy Chakraborty --debPolash

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Probability and Random Processes IIT Kharagpur Course , Prof. Mrityunjoy Chakraborty --debPolash (Size: 5.79 GB)
 Lecture - 1 Introduction to the Theory of Probability-FreeVideoLecturesDOTcom.mp4347.79 MB
 Lecture - 10 Moments-FreeVideoLecturesDOTcom.mp4148.31 MB
 Lecture - 11 Characteristic Function-FreeVideoLecturesDOTcom.mp4144.87 MB
 Lecture - 12 Two Random Variables-FreeVideoLecturesDOTcom.mp4147.87 MB
 Lecture - 13 Function of Two Random Variables-FreeVideoLecturesDOTcom.mp4143.85 MB
 Lecture - 14 Function of Two Random Variables (Contd.)-FreeVideoLecturesDOTcom.mp4139.49 MB
 Lecture - 15 Correlation Covariance and Related Innver-FreeVideoLecturesDOTcom.mp4139.07 MB
 Lecture - 16 Vector Space of Random Variables-FreeVideoLecturesDOTcom.mp4147.14 MB
 Lecture - 17 Joint Moments-FreeVideoLecturesDOTcom.mp4150.29 MB
 Lecture - 18 Joint Characteristic Functions-FreeVideoLecturesDOTcom.mp4148.51 MB
 Lecture - 19 Joint Conditional Densities-FreeVideoLecturesDOTcom.mp4145.85 MB
 Lecture - 2 Axioms of Probability-FreeVideoLecturesDOTcom.mp4148.62 MB
 Lecture - 20 Joint Conditional Densities (Contd.)-FreeVideoLecturesDOTcom.mp4146.47 MB
 Lecture - 21 Sequences of Random Variables-FreeVideoLecturesDOTcom.mp4140.07 MB
 Lecture - 22 Sequences of Random Variables (Contd.)-FreeVideoLecturesDOTcom.mp4147.04 MB
 Lecture - 23 Correlation Matrices and their Properties-FreeVideoLecturesDOTcom.mp4146.17 MB
 Lecture - 24 Correlation Matrices and their Properties-FreeVideoLecturesDOTcom.mp4147.57 MB
 Lecture - 25 Conditional Densities of Random Vectors-FreeVideoLecturesDOTcom.mp4140.23 MB
 Lecture - 26 Characteristic Functions and Normality-FreeVideoLecturesDOTcom.mp452.79 MB
 Lecture - 27 Thebycheff Inquality and Estimation-FreeVideoLecturesDOTcom.mp4151.49 MB
 Lecture - 28 Central Limit Theorem-FreeVideoLecturesDOTcom.mp4148.28 MB
 Lecture - 29 Introduction to Stochastic Process-FreeVideoLecturesDOTcom.mp4206.25 MB
 Lecture - 3 Axioms of Probability (Contd.)-FreeVideoLecturesDOTcom.mp4147.94 MB
 Lecture - 30 Stationary Processes-FreeVideoLecturesDOTcom.mp4142.01 MB
 Lecture - 31 Cyclostationary Processes-FreeVideoLecturesDOTcom.mp4135.46 MB
 Lecture - 32 System with Random Process at Input-FreeVideoLecturesDOTcom.mp4140.18 MB
 Lecture - 33 Ergodic Processes-FreeVideoLecturesDOTcom.mp4140.14 MB
 Lecture - 34 Introduction to Spectral Analysis-FreeVideoLecturesDOTcom.mp4144.39 MB
 Lecture - 35 Spectral Analysis Contd-FreeVideoLecturesDOTcom.mp4145.69 MB
 Lecture - 36 Spectrum Estimation - Non Parametric Methods-FreeVideoLecturesDOTcom.mp4113.58 MB


Description

Probability and Random Processes, IIT Kharagpur

Course Description :
Introduction, Axioms of Probability, Random Variables,Probability Distributions and Density Functions, Function of a Random Variable, Mean and Variance, Function of Two Random Variables, Correlation Covariance, Correlation Matrices and their Properties, Thebycheff Inquality and Estimation, Central Limit Theorem, Ergodic Processes, Linear Mean Square Estimation - Wiener,Adaptive Filtering - LMS Algorithm.


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Probability and Random Processes IIT Kharagpur Course , Prof. Mrityunjoy Chakraborty --debPolash