Vector quantization: Difference between revisions

Revision as of 13:31, 5 November 2003

Revision as of 12:26, 12 December 2003

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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-space is usually achieved through [[projection]], or by using a code-book.

See also: [[speech coding]]