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4 cards from this section. Quick, good the night before a test.
What is Huffman coding used for?
Think about ways data can be represented more efficiently.
Define a prefix code.
This helps ensure no confusion in decoding.
What is the main goal of Huffman coding?
Consider the meaning of compression.
True or False: In Huffman coding, each letter must be represented by the same length of bits.
Think about what differentiates Huffman coding from fixed-length codes.
Given a set of letters: P(0.3), Q(0.25), R(0.2), S(0.15), T(0.1), design an optimal Huffman tree and derive the encoding for each letter.
Always combine the two letters with the lowest frequencies first.
Imagine you're designing a new communication protocol using Huffman coding. List potential challenges you might face in implementation.
Consider the operational aspects of encoding and decoding.
5 more questions in this section. Enroll free to practise them all.
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