Convolutional Codes: Encoding and Decoding

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Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.

Covers Convolutional Codes, Viterbi Algorithm, state and branch metric computations, and survivor path length limitations.

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

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

Explores Viterbi algorithm, state metric updates, LLR computation, and decoding challenges.

Introduces Manopt, a toolbox for optimization on manifolds, covering gradient and Hessian checks, solver calls, and manual caching.

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

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