Lectures related to PAM and QAM: Basics and Error Analysis

Explores conditional density, expectations, and independence of random variables with practical examples.

Explains the polar form of complex numbers and Euler's formula in the complex plane.

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Explains complex numbers in single-phase sinusoidal circuits and their geometric representation, Euler's formula, and complex exponential functions.

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.