Lectures related to Binary symmetric channel

Explores binary channel decoding and vector spaces in coding theory.

Explores cosets, syndromes, and error probability in linear codes.

Covers the fundamentals of information theory, focusing on source coding and channel coding.

Covers polar coding for binary input channels with low computational complexity and explicit identification.

Introduces information theory basics, including entropy, independence, and binary entropy function.

Explores error-correcting codes, decoding processes, constraints satisfaction, randomness in code selection, and error compensation methods.