Error Correction Codes: Theory and Applications

Related lectures (24)

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

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

Delves into the analysis and applications of convolutional codes, highlighting the significance of correct implementation for optimal results.

Covers Convolutional Codes, focusing on mapping symbols and paths.

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

Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.

Explains error correction codes, syndromes, Hamming codes, and error correction techniques.

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

Explores quantum error correction codes, including Hamming codes and repetition codes, noisy quantum coding, and single error correction.

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