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Essay / Research Paper Abstract
This 8 page paper discusses aspects of data compression including its theory and how it works. Bibliography lists 9 sources.
Page Count:
8 pages (~225 words per page)
File: D0_HVDataCm.rtf
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Unformatted sample text from the term paper:
is generally credited to Claude E. Shannon, who formulated the theory in his 1948 paper, "A Mathematical Theory of Communication" (Theory of data compression). In his paper, Shannon established the
fact that "there is a fundamental limit to lossless data compression" (Theory of data compression). "Lossless" is a word meaning "no loss"-that is, there is a limit to how much
data can be handled before some loss is inevitable (Theory of data compression). The fundamental limit is called the "entropy rate" and "is denoted by H" (Theory of data compression).
Further, "[T]he exact value of H depends on the information source --- more specifically, the statistical nature of the source" (Theory of data compression). While it is possible to "compress
the source in a lossless manner, with compression rate close to H," it is "mathematically impossible to do better than H" (Theory of data compression). That is, no matter how
well or carefully the data is compressed, there is a limit after which data will be lost no matter whats done. Shannon developed the "theory of lossy data compression" as
well. When data is compressed in lossless compression, the information that is recovered is exactly the same as that which was compressed in the first place (Theory of data compression).
When "lossy" data compression is used, the end result is not exactly the same as the original material (Theory of data compression). Instead, "some amount of distortion D is tolerated";
presumably this amount is known beforehand (Theory of data compression). Detailed Description / Primary Uses of Data Compression In dealing with lossless compression, "the best possible compression rate is
R(0)=H (for a finite alphabet source)" (Theory of data compression). In other words, "the best possible lossless compression rate is the entropy rate" (Theory of data compression). There is no
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