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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of Huffman encoding?
💡 Hint: Think about how we can use fewer bits.
Question 2
Easy
Define the prefix property in encoding.
💡 Hint: Consider how Morse code can create ambiguity.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Huffman coding primarily optimize in data transmission?
💡 Hint: Think about the purpose of compressing a message.
Question 2
True or False: In typically fixed-length encoding, all letters are represented by the same number of bits.
💡 Hint: Remember how each letter's length is consistent.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Create a Huffman tree for the characters: A, B, C, D, E with frequencies: A=0.5, B=0.25, C=0.15, D=0.05, and E=0.05. Explain the encoding process.
💡 Hint: Start with the smallest frequencies and merge.
Question 2
Explain how combining nodes in a Huffman tree reduces average encoding lengths.
💡 Hint: Consider how many symbols are represented with fewer bits.
Challenge and get performance evaluation