Vector quantization: Difference between revisions

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In some cases, the codebook can be also used to entropy code the discrete value by providing a prefix coded variable-length value.
In some cases, a codebook implementation can be also used to entropy code the discrete value in the same step by generating a prefix coded variable-length encoded value as its output.
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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 discrete [[subspace]] of lower dimension. The lower-space vector requires less storage space and the data is thus compressed. The transformation into the subspace is usually achieved through [[projection]], or by using a [[codebook]]. In some cases, thea codebook implementation can be also used to [[entropy code]] the discrete value in the same step by providinggenerating a [[prefix code]]d variable-length encoded value as its output.
 
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