# quantization

Quantization is the procedure of constraining something from a continuous set of values (such as the real numbers) to a discrete set (such as the integers). Quantization in specific domains is discussed in:
In mathematics, the real numbers may be described informally as numbers that can be given by an infinite decimal representation, such as 2.4871773339…. The real numbers include both rational numbers, such as 42 and −23/129, and irrational numbers, such as π and
The integers (from the Latin integer, which means with untouched integrity, whole, entire) are the set of numbers including the whole numbers (0, 1, 2, 3, …) and their negatives (0, −1, −2, −3, …).
quantization is the process of approximating a continuous range of values (or a very large set of possible discrete values) by a relatively-small set of discrete symbols or integer values.
Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum value. By reducing the number of discrete symbols in a given stream, the stream becomes more compressible.
In signal processing, quantization is the process of approximating a continuous range of values (or a very large set of possible discrete values) by a relatively-small set of discrete symbols or integer values. This article describes aspects of quantization related to sound signals.

## Time Quantization

In digital music processing technology, quantization is the process of aligning a set of musical notes to a precise setting.