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'''Quantization''', in mathematics and [[digital signal processing]], 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 [[Cardinality|number of elements]]. [[Rounding]] and [[truncation]] are typical examples of quantization processes. Quantization is involved to some degree in nearly all digital signal processing, as the process of representing a signal in digital form ordinarily involves rounding. Quantization also forms the core of essentially all [[lossy compression]] algorithms.
The difference between an input value and its quantized value (such as [[round-off error]]) is referred to as '''quantization error'''. A device or [[algorithm function|algorithmic function]] that performs quantization is called a '''quantizer'''. An [[analog-to-digital converter]] is an example of a quantizer
==Example==
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*{{Citation |last1=Jayant |first1= Nikil S.
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