Quantization (signal processing): Difference between revisions

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In [[digital signal processing]], '''quantization''' is the process of approximating a continuous signal by a set of discrete symbols or integer values. In general, a quantization operator can be represented as

:''Q''(''x'') = round(''f''(''x''))

where ''x'' is a real number, Q(''Q(x)'') an integer, and f(''f(x)'') is an arbitrary real-valued function that controls the '"quantization law'" of the particular coder.

For example, in digital [[telephone|telephony]], two popular quantization schemes are the '[[A-law algorithm|A-law]]' and '[[Mu-law algorithm|µ-law]]', each mapping an analog signal to an integer value represented by an 8-bit [[binary]] number, but each with a different function ''f''.

See also:

*[[informationInformation theory]]

*[[rateRate distortion theory]]

*[[Vector quantization]]