MATLAB Implementation of Huffman Coding Algorithm

Below is my self-developed MATLAB program for Huffman coding, which has proven to be highly practical. I am sharing its detailed specifications and usage methods with the community. Huffman coding is a widely-used data compression algorithm that enables efficient data compression and decompression. The algorithm constructs an encoding table based on character frequency statistics, where high-frequency characters receive shorter codes while low-frequency characters get longer codes. This encoding approach significantly reduces data storage requirements while maintaining perfect reconstruction of original data during decompression. My MATLAB implementation features a complete Huffman coding system with the following technical characteristics: - Implements frequency analysis using histogram counting functions - Builds Huffman trees through priority queue operations with min-heap structure - Generates optimal prefix codes using recursive tree traversal algorithms - Includes both encoding and decoding modules with error handling The program offers an intuitive user interface where you can input data for compression - the system automatically performs encoding and outputs compressed data. Conversely, you can input compressed data for decompression to recover the original information. This versatile tool suits various data compression needs and demonstrates efficient algorithm implementation through: - Vectorized operations for improved performance - Binary tree data structure management - Bit-level manipulation for compact encoding - File I/O handling for practical applications If you're interested in this Huffman coding MATLAB implementation, I'd be delighted to share it. Please feel free to contact me for complete program details, source code, and comprehensive usage instructions. I hope this utility proves valuable for your data processing requirements!