Data Compression and Shannon Fano Coding

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Source Coding Theorems: Entropy and Source Models

Covers source coding theorems, entropy, and various source models in information theory.

Conditional Entropy and Data Compression Techniques

Discusses conditional entropy and its role in data compression techniques.

Compression: Prediction

Covers the concepts of compression and prediction using prefix-free codes and distributions.

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.

Image Processing II: Coding and Compression

Explores image coding, compression techniques, and wavelet-based methods for efficient data representation.

Universal Compression: Lempel-Ziv Method

Covers the Universal Compression using the Lempel-Ziv method and demonstrates its superiority over other methods.

Data Compression and Entropy 2: Entropy as 'Question Game'

Explores entropy as a 'question game' to guess letters efficiently and its relation to data compression.

Data Compression and Shannon's Theorem: Entropy Calculation Example

Demonstrates the calculation of entropy for a specific example, resulting in an entropy value of 2.69.