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In mathematics and digital signal processing, quantization is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements. Rounding and truncation are typical examples of quantization processes. Quantization is involved to some degree in nearly all…
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quantization quantizer displaystyle error signal value distortion input noise values bit output uniform rate set may rounding reconstruction source db
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the bit rate R | instance of | which optimally satisfy a selected set of design constraints | 0.80 | text |
| arithmetic coding can achieve bit rates that are very close to the true entropy of a source | instance of | Modern entropy coding techniques | 0.80 | text |
| given a set of known | instance of | Modern entropy coding techniques | 0.80 | text |
| arithmetic coding that is better than an FLC in the rate | instance of | or some other entropy coding technology | 0.80 | text |
| quantization in the explanatory or independent variableSample abundance Notes.mw-parser-output .reflist-columns-2 | instance of | a bias in parameter estimates caused by errors | 0.80 | text |
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