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Source coding

Source coding represents messages efficiently, with entropy constraining lossless average code length.

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  • Channel capacity

    Capacity bounds achievable reliable information rates for a specified channel model.

  • Hamming distance

    Hamming distance counts differing positions between equal-length strings.

  • Prefix codes

    No codeword is a prefix of another, enabling unambiguous immediate decoding.

  • Shannon entropy

    Entropy is expected negative log probability for a discrete distribution.

  • Conditional entropy

    Conditional entropy averages remaining uncertainty after another variable is observed.

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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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