How do Huffman coding and LZW compression differ?
Huffman coding is a variable-length coding algorithm that assigns shorter codes to more frequent symbols, while LZW (Lempel-Ziv-Welch) is a dictionary-based compression method that replaces repeated sequences of data with shorter codes.
Can you explain how Huffman coding works in more detail?
Sure! Huffman coding builds a binary tree based on the frequency of each symbol. The most frequent symbols are closer to the root, resulting in shorter binary representations.
What are the advantages of using LZW over Huffman coding?
LZW is often faster for decompression and doesn't require prior knowledge of symbol frequencies, making it more flexible for certain types of data.
Are there specific use cases where one is preferred over the other?
Yes, Huffman coding is commonly used in image formats like JPEG, while LZW is used in GIFs and some file compression tools like ZIP.
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