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...robability distribution]] that is of some theoretical importance in [[data compression]]. [[Category:Data compression]] ...

{{Short description|Performance metric for lossless compression}} ...red applications, with those of a ''de facto'' standard according to the [[data type]]. ...

{{Short description|Lossless data compression technique}} ...ding''', named after its creator, [[Claude Shannon]], is a [[lossless data compression]] technique for constructing a [[prefix code]] based on a set of symbols an ...

| genre = [[Data compression]] '''liblzg''' is a compression library for performing [[lossless data compression]]. It implements an algorithm that is a variation of the [[LZ77 and LZ78|LZ ...

...1973. It is a method of theoretically [[Line code|coding]] two [[Lossless compression|lossless compressed]] correlated [[Communication source|source]]s.{{Sfn|Sle ...ong sequences is accepted, the Slepian–Wolf theorem shows that much better compression rate can be achieved. As long as the total rate of <math>X</math> and <mat ...

...ry replacements for text), DELTA (improves compression of tables in binary data), BCJ (executables preproccesor) and LZP (removes repetitions in text).<ref ...tml|title=Proprietary Formats: Compression Rate, Size, And Duration - Four Compression And Archiving Solutions Compared|date=10 March 2010|access-date=25 June 201 ...

{{Short description|Compressed data structure for pattern matching}} ...[[suffix array]].<ref name="GV00"/><ref name="opportunistic_2000"/> These data structures enable quick search for an arbitrary [[String (computer science) ...

{{short description|Lossless, but memory-consuming, data compression algorithm}} ...mmar]] generating a single string: the input text. In order to perform the compression in linear time, it consumes the amount of memory that is approximately five ...

...unstall coding''' is a form of [[entropy coding]] used for [[lossless data compression]]. ...<ref>{{cite book|last=Tunstall, Brian Parker|title=Synthesis of noiseless compression codes|date=September 1967|publisher=[[Georgia Institute of Technology]]}}</ ...

'''Storage efficiency''' is the ability to store and manage data that consumes the least amount of space with little to no impact on perform ..., often to over 100% for primary data, and thousands of percent for backup data. ...

{{Short description|Lossy color image compression algorithm}} ...s in a block be computed in order to compress an image, whereas Color Cell Compression does not use the standard deviation. Both algorithms, though, can compress ...

...dwidth (signal processing)|bandwidth]], which might lead to better [[image compression]] performance. ...rst=Li|title=The Correlation between the Wavelet Base Properties and Image Compression|journal=2007 International Conference on Computational Intelligence and Sec ...

'''Silence compression''' is an audio processing technique used to effectively encode silent inter ...cheme for use with G.729 optimized for V.70 digital simultaneous voice and data applications |url=https://ieeexplore.ieee.org/document/620527 |access-date= ...

===The compression theorem=== {{main|Compression theorem}} ...

...390.</ref> who describe it as an opportunistic data structure as it allows compression of the input text while still permitting fast substring queries. The name s ...b-linear time|sublinear complexity]] with respect to the size of the input data. ...

{{Compression Methods}} [[Category:Lossless compression algorithms]] ...

...ay that its output has properties conducive for [[data compression]] and [[data analysis|analytics]]. The reshaping consists of warped stretching in the Fo ...-FW6A.2]</ref> is a mathematical transformation in which analog or digital data is stretched and warped in a context-aware manner, such that it results in ...

[[Category:Data compression]] ...

...d that it allowed application [[Bit rate|data rate]] to exceed the nominal data rate of the link. Infineta Systems ceased operations by February 2013, a [[ ..., especially [[I/O]] operations and [[CPU cycle]]s, associated with [[data compression]] technologies would ultimately limit their [[scalability]].<ref>{{cite boo ...

'''Normalized compression distance''' ('''NCD''') is a way of measuring the [[Equality (mathematics)| It can be used in [[information retrieval]] and [[data mining]] for [[cluster analysis]]. ...