Coding theory

Related lectures (28)

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Covers error correction in quantum computing using Hamming codes and syndrome decoding.

Covers expected code word length, Huffman procedure, and entropy in coding theory.

Covers Convolutional Codes, focusing on mapping symbols and paths.

Covers the introduction of Convolutional Coder, explaining its structure and operation.

Delves into advanced Python coding for double-layered timber plate shell structures.

Covers source coding, cryptography, and channel coding for communication systems.

Explores secret key generation using polar coding for short blocklengths, discussing key capacity, rate-leakage pairs, and practical implementation.

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

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

Covers the decoding process of convolutional codes and the analysis of eye diagrams.