Convolutional Codes: Encoding and Decoding

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Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Error Correction Codes: Hamming Code

Explores the Hamming Code for error correction, emphasizing its ability to correct single-bit errors.

Coding Theorem: Proof and Properties

Covers the proof and properties of the coding theorem, focusing on maximizing the properties of lx and the achievable rate.

Error Correction Codes: Theory and Applications

Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.

Error Correction Codes: Decoding and Communication

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

Soft-Output MIMO Detection for BICM

Covers Soft-Output MIMO Detection for BICM, LLRs computation, BICM system model, and challenges of channel assumptions.

Linear Codes: Systematic vs Non-Systematic

Explores the creation of systematic linear codes and the transformation of non-systematic codes, showcasing their equivalence and importance in simplifying encoding and decoding processes.

Minimum Distance Decoding

Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.

Quantum Correction Codes 4

Explains quantum correction codes using two classic codes to correct errors, focusing on goal flips and headlight flips.

Lecture: Shannon

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.