Channel Coding and BICM (LLRs)

Related lectures (25)

Page 2 of 3

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

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

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

Explores binary channel decoding and vector spaces in coding theory.

Explores error correction codes, focusing on structure, properties, and the Singleton bound.

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

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

Explores error-correcting codes, decoding processes, constraints satisfaction, randomness in code selection, and error compensation methods.

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

Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.