Abstract
The dilemma of information processing is that the states of the environment, and consequently the primary information are continuous but that digital information processing is efficient and cheap. Section 1.5.4 described the basic transformations of the primary continuous information into discrete information. Such a transformation is called discretization; discretization of scalar or vector information is called1 quantization. The important types of discretization are listed in Figure 1.22.
There is no standard terminology is this area. Often discretization and quantization are considered as synonyms.
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© 1997 Kluwer Academic Publishers
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(1997). Dimensionality Reduction and Quantization. In: Information Systems and Data Compression. Springer, Boston, MA. https://doi.org/10.1007/978-0-585-27999-2_7
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DOI: https://doi.org/10.1007/978-0-585-27999-2_7
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