Introduction to Probability Theory: Digital Communication Example on Bayes' Rule | Dr. Kamlesh Gupta

This module illustrates how to apply the Bayes' rule in solving a problem by taking an example from digital communications. It includes discussion on a binary symmetric channel, flipping or crossover probability, maximum a posteriori (MAP) receiver, and the maximum likelihood (ML) receiver.

Download the pdf of the lecture from the Telegram channel: https://t.me/engineeringandarts

LinkedIn: LinkedIn: kamlesh-gupta

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