ASCII files can be compressed to smaller sizes by using variable length Huffman Coding. By analyzing the different probabilities of the various symbols that occur in a given file, we can build a Huffman tree to come up with a minimal, optimized binary list of code words for these symbols.
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View Code? Open in Web Editor NEWASCII files can be compressed to smaller sizes by using variable length Huffman Coding. By analyzing the different probabilities of the various symbols that occur in a given file, we can build a Huffman tree to come up with a minimal, optimized binary list of code words for these symbols.
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