10 Questions
What is data compression?
Data compression is the process of reducing the size of data by reducing the number of bits while retaining its meaning.
What are the advantages of data compression?
The advantages of data compression include reducing storage needed, reducing transmission cost/latency/bandwidth.
What is the purpose of data compression?
The purpose of data compression is to reduce the size or volume of data.
What is the art of representation of information in a compact form called?
The art of representation of information in a compact form is called data compression.
Where does data compression have important applications?
Data compression has important applications in the areas of file storage and distributed systems.
What is a Huffman code?
A Huffman code is a variable-length coding algorithm that is optimum for a given model (set of probabilities).
Who developed the Huffman code?
The Huffman code was developed by David Huffman.
What are the two observations regarding optimum prefix codes?
The two observations are: 1. In an optimum code, symbols that occur more frequently will have shorter codewords than symbols that occur less frequently. 2. In an optimum code, the two symbols that occur least frequently will have the same length.
What is an important condition of Huffman codes?
An important condition of Huffman codes is that the codewords corresponding to the two lowest probability symbols differ only in the last bit.
Can Huffman codes be built when the source statistics are known?
Yes, Huffman codes can be built when the source statistics are known.
Test your knowledge on data compression techniques with this quiz! Learn about the concepts and methods used to reduce the size of data and improve storage efficiency. Get ready to compress, reduce, and shrink your way to success!
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