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Lecture
Compression: Prefix-Free Codes
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Related lectures (28)
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Data Compression and Shannon's Theorem: Performance Analysis
Explores Shannon's theorem on data compression and the performance of Shannon Fano codes.
Shannon's Theorem
Introduces Shannon's Theorem on binary codes, entropy, and data compression limits.
Data Compression and Entropy: Basics and Introduction
Introduces data compression, entropy, and the importance of reducing redundancy in data.
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 Entropy: Conclusion
Covers the definition of entropy, Shannon–Fano algorithm, and upcoming topics.
Conditional Entropy: Huffman Coding
Explores conditional entropy and Huffman coding for efficient data compression techniques.
Data Compression: Shannon-Fano Algorithm
Explores the Shannon-Fano algorithm for efficient data compression and its applications in lossless and lossy compression techniques.
Lossless Compression: Shannon-Fano and Huffman
Explores lossless compression using Shannon-Fano and Huffman algorithms, showcasing Huffman's superior efficiency and speed over Shannon-Fano.