MATLAB LZW Decompression Function and Main Program with Code Implementation

Resource Overview

This MATLAB implementation provides LZW decompression function and main program, designed to work with my previously uploaded LZW compression code. The algorithm demonstrates excellent compression performance achieving over 80% compression ratio. The code includes dictionary initialization, string table management, and compressed data decoding mechanisms. Users can contact me for detailed explanations about the algorithm implementation and usage techniques.

Detailed Documentation

This package contains LZW decompression implementation written in MATLAB, consisting of both the core decompression function and main driver program. For optimal understanding, please refer to my previously uploaded LZW compression program as these two components work together as a complete compression-decompression system. The implementation features dictionary-based decompression algorithm that reconstructs original data from compressed codes. Key components include: - Dictionary initialization with base character set - Dynamic dictionary expansion during decompression - Code-to-string conversion logic - Buffer management for reconstructed output The program achieves remarkable compression efficiency with compression rates exceeding 80%. The decompression process accurately restores original data without loss through proper dictionary synchronization. If you encounter any issues or need clarification about the algorithm implementation, please feel free to contact me. I can provide comprehensive explanations of the core principles, MATLAB-specific implementation details, and practical usage guidance. Through proper instruction, you'll quickly master both the theoretical concepts and practical application of this LZW implementation.