Lectures related to Information Coding: Source, Cryptography, Channel

Explores variance, covariance, and practical applications in statistics and probability.

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.

Covers the basics of probability theory, including probability spaces, random variables, and measures.

Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.