[amp_mcq option1=”Static Dictionary” option2=”Adaptive Dictionary” option3=”Both A and B” option4=”None of the above” correct=”option3″]
The correct answer is: C. Both A and B
Static dictionary is a dictionary that is built once and then used to compress all subsequent data. Adaptive dictionary is a dictionary that is built dynamically as data is being compressed. Both static and adaptive dictionaries can be used to compress data using the prior knowledge of the probability of the frequently occurring patterns.
Static dictionary is a simple and efficient approach to data compression. However, it can only achieve good compression if the prior knowledge of the probability of the frequently occurring patterns is accurate. Adaptive dictionary is a more complex approach to data compression, but it can achieve better compression than static dictionary if the prior knowledge of the probability of the frequently occurring patterns is inaccurate.
In practice, both static and adaptive dictionaries are used in data compression. Static dictionary is used for data that is known to have a high prior knowledge of the probability of the frequently occurring patterns. Adaptive dictionary is used for data that is not known to have a high prior knowledge of the probability of the frequently occurring patterns.
Here is a brief explanation of each option:
- Static Dictionary is a dictionary that is built once and then used to compress all subsequent data. It is a simple and efficient approach to data compression. However, it can only achieve good compression if the prior knowledge of the probability of the frequently occurring patterns is accurate.
- Adaptive Dictionary is a dictionary that is built dynamically as data is being compressed. It is a more complex approach to data compression, but it can achieve better compression than static dictionary if the prior knowledge of the probability of the frequently occurring patterns is inaccurate.
- Both A and B. Both static and adaptive dictionaries can be used to compress data using the prior knowledge of the probability of the frequently occurring patterns. Static dictionary is a simple and efficient approach to data compression, but it can only achieve good compression if the prior knowledge of the probability of the frequently occurring patterns is accurate. Adaptive dictionary is a more complex approach to data compression, but it can achieve better compression than static dictionary if the prior knowledge of the probability of the frequently occurring patterns is inaccurate.