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Compression codes (theorems: Kraft, Shannon-Fano, Huffman, arithmetic and LZW code)
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Error correction codes (theorems: Hamming condition, Varsham-Gilbert)
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Cryptography: DES, AES and RSA
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but it guarantees their existence.
In practice, structured codes such as Hamming and Reed–Solomon codes are employed to approach channel capacity.
\section{Conclusion}
\section{Conclusion}
Entropy provides a fundamental measure of uncertainty and information,
bridging concepts from thermodynamics to modern communication theory.
Beyond the provided examples, the concept of entropy has far-reaching applications in diverse fields:
from cryptography, where it quantifies randomness and security,
to statistical physics, where it characterizes disorder in complex systems,
to biology, connecting molecular information and population diversity.
\printbibliography
\end{document}