Data compression

Related lectures (28)

Introduces data compression, exploring how redundancy in data can be reduced to achieve smaller file sizes without losing information.

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

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

Explores Shannon-Fano coding for efficient data compression and its comparison to Huffman coding.

Summarizes Shannon's theorem, emphasizing the importance of entropy in data compression.

Explores data compression through signal sparsity, questioning the need for recording vast amounts of data.

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

Explores the advantages of Decomposition Storage Model with column-oriented storage and various compression techniques.

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