Lectures related to Linear Block Codes: Basics

Covers quantum corrective codes, error elimination, redundancy, classical coding, and parity matrices.

Information Theory: Source Coding, Cryptography, Channel Coding

Covers source coding, cryptography, and channel coding in communication systems, exploring entropy, codes, error channels, and future related courses.

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Minimum Distance Decoding

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

Binary Parity Check Code

Explores binary parity check codes, systematic generator matrix, and Gaussian elimination.

Lecture: Shannon

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

Linear Codes: Dimension and Hamming Weight

Discusses linear codes' dimension and Hamming weight with examples and theorems.

Quantum Correction Codes 3

Explores quantum correction codes, emphasizing error detection, correction, and quantum circuit applications.

Error Correction Codes: Basics

Introduces erasure and error channels, Hamming distance, and error correction codes.

Error Correction Codes: Hamming Code

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