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2 cards from this section. Quick, good the night before a test.
What is a prefix code?
Think about why we need clarity in decoding.
Can you name one application of variable length encoding?
Think about how data is compressed.
What does Huffman coding optimize for?
Consider what it means to be 'efficient' in data encoding.
True or False? Prefix codes allow for ambiguous decoding.
Think about how unambiguous is related to prefixes.
Given the frequencies of letters A: 0.4, B: 0.3, C: 0.2, and D: 0.1, construct a Huffman tree and assign the codes.
Combine the lowest frequencies first.
Explain how you would adjust Huffman coding if working with a different language like French.
Consider the significance of character distribution in different languages.
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