Lectures in course COM-404: Information theory and coding

Covers error-correcting codes, Hamming distance, and polynomial multiplication in algebraic fields.

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

Explores error correction codes, decoding algorithms, and their role in communication systems.

Covers the wrapping and decoding process of polar codes, exploring the trade-off between quality and efficiency in lossy compression.

Covers Rate-Distortion Theory, optimizing encoding and decoding for efficient data transmission.

Covers source coding, encoder design, and error probability analysis in information theory and coding.

Explores encoding and decoding techniques in communication systems, focusing on fundamental limits and mutual information computations.