Information and Coding Theory
Explore information measures; compression and channels; error correction. Concepts and connections are available independently of video coverage.
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No codeword is a prefix of another, enabling unambiguous immediate decoding.
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A greedy merging procedure builds an optimal binary prefix code for given symbol probabilities.
Source coding represents messages efficiently, with entropy constraining lossless average code length.
Capacity bounds achievable reliable information rates for a specified channel model.
Conditional entropy averages remaining uncertainty after another variable is observed.
Minimum distance d permits correcting up to floor((d-1)/2) arbitrary symbol errors.
Explore information measures; compression and channels; error correction. Concepts and connections are available independently of video coverage.