Entropy coding

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Related lectures (29)

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Huffman Coding: Optimal Prefix-Free Codes

Explores Huffman coding, demonstrating its optimality in average codeword length and prefix-free property.

Information Theory Basics

Introduces information theory basics, including entropy, independence, and binary entropy function.

AdEx: Adaptive exponential integrate-and-fire

Covers the AdEx model, firing patterns, adaptation, and parameter estimation.

Data Compression and Shannon's Theorem: Huffman Codes

Explores the performance of Shannon-Fano algorithm and introduces Huffman codes for efficient data compression.

Data Compression and Shannon's Theorem: Shannon's Theorem Demonstration

Covers the demonstration of Shannon's theorem, focusing on data compression.

Curie-Weiss Model

Delves into the Curie-Weiss model, exploring its theoretical foundations and practical applications in different scenarios.

Entropy and Data Compression: Huffman Coding Techniques

Discusses entropy, data compression, and Huffman coding techniques, emphasizing their applications in optimizing codeword lengths and understanding conditional entropy.

Conditional Entropy and Data Compression Techniques

Discusses conditional entropy and its role in data compression techniques.

Data Compression and Entropy: Conclusion

Covers the definition of entropy, Shannon–Fano algorithm, and upcoming topics.