Vector quantization: Difference between revisions

Revision as of 15:10, 4 May 2004

Revision as of 17:07, 19 July 2004

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In [[data compression]], '''vector [[quantization]]''' is a technique (usually [[lossy data compression|lossy]]) in which the basic idea is to code a multidimensional [[vector space]] into a [[subspace]] of lower dimension. The lower-space vector requires less storage space and the data is thus compressed. The transformation into the sub-spacesubspace is usually achieved through [[projection]], or by using a code-bookcodebook.

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See also: [[speech coding]]

==See also==

External links: http://www.data-compression.com/vq.html

See also:* [[speech coding]]

* [[Ogg Vorbis]]

* [[Voronoi map]]

==External links==

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External links:* http://www.data-compression.com/vq.html