Vector quantization: Difference between revisions

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m Reverted edits by 203.81.177.56 (talk) (HG) (3.4.10)
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m Task 18 (cosmetic): eval 9 templates: del empty params (1×); hyphenate params (2×);
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== Training ==
The simplest training algorithm for vector quantization is:<ref>{{cite book|title=An Introduction to Natural Computation|author=Dana H. Ballard|date=2000|publisher=MIT Press|isbn=978-0-262-02420-4|___location=|page=189}}
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# Pick a sample point at random
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| date = 2009-12-27
| url = http://lists.mplayerhq.hu/pipermail/bow/2009-December/000058.html
| accessdateaccess-date = 2013-03-16 }}
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* [[Cinepak]]
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| date = 2007-03-09
| url = http://xiph.org/vorbis/doc/Vorbis_I_spec.html
| accessdateaccess-date = 2007-03-09 }}
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* [[Opus (codec)|Opus]] is transform-based but uses vector quantization on transformed coefficients