5 Questions
What are context based compression techniques and how do they work?
Context based compression techniques use the context of the data being encoded and the past history of the data to provide more efficient compression. These techniques give more compression when the message that is being coded has a more skewed set of probabilities.
What is the difference between context based coding and predictive coding?
Context based coding is a scheme where the distribution is based on the history of the sequence, while predictive coding uses some context of order 1, 2, and so on to make predictions.
What does it mean for a sequence of symbols to be 'skewed'?
When a sequence of symbols is 'skewed', it means that certain symbols occur with much higher probability than others in the sequence to be encoded.
How does the knowledge of which symbols have occurred in the neighborhood of the symbol being encoded affect context based coding?
If a sequence of symbols being encoded does not consist of independent occurrences of the symbols, then the knowledge of which symbols have occurred in the neighborhood of the symbol being encoded will affect the context based coding.
What is the purpose of using context based compression techniques?
The purpose of using context based compression techniques is to provide more efficient compression by utilizing the context of the data being encoded and the past history of the data.
Test your knowledge on context-based compression techniques and their use in efficient data compression. Explore how these techniques make use of the context of the data being encoded and the past history of the data to achieve better compression. Learn about the advantages of context-based compression when dealing with messages that have a more skewed set of probabilities.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
