Compression: introduction

Related lectures (27)

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Explores the Shannon-Fano algorithm for efficient data compression and its applications in lossless and lossy compression techniques.

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

Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.

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

Reviews information measures like entropy and introduces mutual information as a measure of information between random variables.

Explores entropy, compression algorithms, and optimal coding methods for data compression.

Explores data compression, including lossless methods and the necessity of lossy compression for real numbers and signals.

Explores lossless data compression techniques, emphasizing efficient message representation and encoding strategies.

Explores the cutting-edge JPEG XS and JPEG XL image compression standards, emphasizing their efficiency and versatility in various applications.

Explores Claude Shannon's contributions to information theory and efficient communication and storage methods.