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2 cards from this section. Quick, good the night before a test.
What is variable length encoding?
Think about how letters can be represented in a more efficient way.
Define Huffman Codes.
It’s a solution to reduce the size of encoded messages.
What does Huffman Coding optimize?
Think about the primary purpose of using Huffman Coding.
True or False: In a prefix code, one code can be a prefix of another code.
Remember how ambiguity can arise without this property.
Construct a Huffman Tree using the letters A (0.4), B (0.3), C (0.2), D (0.1). Then derive the corresponding binary codes.
Start by identifying the two letters with the lowest frequencies.
Given the probabilities of letters A (0.25), B (0.25), C (0.25), and D (0.25), provide an explanation of how you would use Huffman coding to minimize the length of the encoded message.
Think about how you would choose to combine nodes when frequencies are equal.
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