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Data compaction
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{{One source|date=June 2024}} In [[telecommunications]], '''data compaction''' is the reduction of the number of [[data element]]s, [[Bandwidth (computing)|bandwidth]], cost, and time for the generation, [[transmission (telecommunications)|transmission]], and [[computer storage|storage of data]] without loss of [[information]] by eliminating unnecessary [[redundancy (information theory)|redundancy]], removing irrelevancy, or using special coding. Examples of data compaction methods are the use of fixed-[[Engineering tolerance|tolerance]] bands, variable-tolerance bands, [[slope]]-keypoints, sample changes, curve patterns, [[curve fitting]], variable-[[precision (computer science)|precision]] coding, [[frequency]] analysis, and probability analysis. Simply squeezing noncompacted data into a smaller space, for example by increasing packing density by transferring images from [[newsprint]] to [[microfilm]] or by transferring data on [[punched card]]s onto [[magnetic tape]], is not data compaction.{{Explain|date=November 2019|reason=What is the right name for such squeezing, if not data compaction?}} == Everyday examples == The use of [[acronym]]s in [[texting]] is an everyday example. The number of bits required to transmit and store "[[WYSIWYG]]" (What You See Is What You Get) is reduced from its expanded equivalent (7 characters vs 28). The representation of [[Mersenne prime]]s is another example. The largest known {{as of|2013|2|lc=on}} is over 17 million digits long but it is represented as ''M''<sub>57885161</sub> in a much more compacted form. == See also == * [[brevity code]] * [[commercial code (communications)]] * [[data compression]] ==References== {{FS1037C}} [[Category:Telecommunications techniques]] [[Category:Data compression]] {{telecomm-stub}}
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