About: Adaptive coding

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Adaptive coding refers to variants of entropy encoding methods of lossless data compression. They are particularly suited to streaming data, as they adapt to localized changes in the characteristics of the data, and don't require a first pass over the data to calculate a probability model. The cost paid for these advantages is that the encoder and decoder must be more complex to keep their states synchronized, and more computational power is needed to keep adapting the encoder/decoder state.

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rdfs:label	Adaptive coding (en)
rdfs:comment	Adaptive coding refers to variants of entropy encoding methods of lossless data compression. They are particularly suited to streaming data, as they adapt to localized changes in the characteristics of the data, and don't require a first pass over the data to calculate a probability model. The cost paid for these advantages is that the encoder and decoder must be more complex to keep their states synchronized, and more computational power is needed to keep adapting the encoder/decoder state. (en)
foaf:depiction
dcterms:subject	Lossless compression algorithms
Wikipage page ID	446876 (xsd:integer)
Wikipage revision ID	932967543 (xsd:integer)
Link from a Wikipage to another Wikipage	Cassini-Huygens Saturn Entropy encoding Lossless compression algorithms Data compression Run-length encoding JPEG LZW LZ77 Solid-state drive Streaming data Lossless data compression
sameAs	Adaptive coding Adaptive coding Adaptive coding Adaptive coding
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thumbnail	wiki-commons:Special:FilePath/Damaged_N00153918.jpg?width=300
bot	yes (en)
date	December 2019 (en) June 2009 (en)
reason	How many of the images were actually damaged, now that the mission has ended? (en)
has abstract	Adaptive coding refers to variants of entropy encoding methods of lossless data compression. They are particularly suited to streaming data, as they adapt to localized changes in the characteristics of the data, and don't require a first pass over the data to calculate a probability model. The cost paid for these advantages is that the encoder and decoder must be more complex to keep their states synchronized, and more computational power is needed to keep adapting the encoder/decoder state. Almost all data compression methods involve the use of a model, a prediction of the composition of the data. When the data matches the prediction made by the model, the encoder can usually transmit the content of the data at a lower information cost, by making reference to the model.This general statement is a bit misleading as general data compression algorithms would include the popular LZW and LZ77 algorithms,which are hardly comparable to compression techniques typically called adaptive.Run-length encoding and the typical JPEG compression with run length encoding and predefined Huffman codes do not transmit a model.A lot of other methods adapt their model to the current file and need to transmit it in addition to the encoded data, because both the encoder and the decoder need to use the model. In adaptive coding, the encoder and decoder are instead equipped with a predefined meta-model about how they will alter their models in response to the actual content of the data, and otherwise start with a blank slate, meaning that no initial model needs to be transmitted. As the data is transmitted, both encoder and decoder adapt their models, so that unless the character of the data changes radically, the model becomes better-adapted to the data it is handling and compresses it more efficiently approaching the efficiency of the static coding. (en)
prov:wasDerivedFrom	wikipedia-en:Adaptive_coding?oldid=932967543&ns=0
page length (characters) of wiki page	4442 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Adaptive_coding
is Link from a Wikipage to another Wikipage of	List of algorithms Blackbird (software) DVB DVB-S2 Comparison of video codecs Golomb coding Arithmetic coding Adaptive Huffman coding Adaptive algorithm
is foaf:primaryTopic of	wikipedia-en:Adaptive_coding

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