Arithmetic Coding, Entropy Coding, and Huffman Coding
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This article presents MATLAB implementations of arithmetic coding, entropy coding, and Huffman coding. First, we will explain the principles and working mechanisms of these encoding methods in detail, including their core algorithms and mathematical foundations. Then, we will demonstrate step-by-step how to write MATLAB code to implement these encoding methods, covering key functions such as probability calculation, interval partitioning for arithmetic coding, and binary tree construction for Huffman coding. Finally, we will validate the code correctness through practical examples and discuss the advantages, limitations, and real-world application scenarios of each encoding method. Through this comprehensive guide, readers will gain a deeper understanding of these compression techniques and be able to apply them to solve practical data compression problems.
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