Entropy coding
In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared by Shannon's source coding theorem, which states that any lossless data compression method must have expected code length greater or equal to the entropy of the source.More precisely, the source coding theorem states that for any source distribution, the expected code length satisfies
Entropy coding - Wikipedia Jump to content From Wikipedia, the free encyclopedia (Redirected from Entropy encoding ) Lossless data compression scheme In information theory , an entropy coding (or entropy encoding ) is any lossless data compression method that attempts to approach the lower bound declared by Shannon's source coding theorem , which states that any lossless data compression method must have an expected code length greater than or equal to the entropy of the source. [ 1 ] [ 2 ] More precisely, the source coding theorem states that for any source distribution, the expected code len
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