PRINCIPLES OF COMMUNICATION SYSTEMS || ECE stream || Very Important Questions Explained with Concepts || All 5 modules || BEC402 || Last moment exam preparation
About Course
Course Content
MODULE 1
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01:28
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2. Define auto and cross correlation with their properties.
04:22 -
3. Explain Bayesian rule and define conditional property
04:05 -
4. Define Ensemble average and mean average and moment Define correlation, covariance and correlation coefficient
02:35 -
5. Gaussian Random Variable and program to demonstrate Gaussian filters.
00:42 -
6. Outline random processes and illustrate an ensemble of sample functions with a neat diagram.
01:11 -
7. Show that, if a Gaussian process X(t) is applied to a stable linear filter, then the random process Y(t) developed at the output of the filter is also Gaussian.
04:13 -
8. Explain central limit theorem as applied to Gaussian Random Process
03:05
MODULE 2
MODULE 3
MODULE 4
MODULE 5
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