Implement string compression algorithms

Create implementations for string compression algorithms:

## Lossless compression algorithms:
- Run-Length Encoding (RLE)
- Huffman coding
- Lempel-Ziv (LZ77, LZ78)
- Lempel-Ziv-Welch (LZW)
- Burrows-Wheeler Transform (BWT)
- Move-to-Front Transform (MTF)
- Arithmetic coding

## Dictionary-based compression:
- Static dictionary techniques
- Dynamic dictionary building
- Sliding window approaches

## Applications:
- Text compression
- Data serialization
- Network protocols
- File storage

## Requirements:
- Provide compression ratio analysis
- Include time and space complexity details
- Create comprehensive test cases with various input types
- Document practical applications

This collection will demonstrate different approaches to data compression, focusing on string-based algorithms that form the foundation of many compression tools and formats.