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The partitioning of a set of possible communications generated by an information source (cf. [[Information, source of|Information, source of]]) into a finite (or sometimes countable) number of disjoint subsets $A_i$ in such a way that the information in each class can be represented with a given precision of reproduction of the information (cf. [[Information, exactness of reproducibility of|Information, exactness of reproducibility of]]) by some specially selected element $a_i\in A_i$. To a given quantization of information corresponds a way of coding the information source, defined by a coding function $\phi(x)=a_i$ when $x\in A_i$. Such a quantization enables one to replace the sending of a continuous signal by that of a discrete signal without violating certain conditions on the precision of reproduction of information.

====References====
<table><TR><TD valign="top">[1]</TD> <TD valign="top">  A.A. Kharkevich,   "Channels with noise" , Moscow  (1965)  (In Russian)</TD></TR><TR><TD valign="top">[2]</TD> <TD valign="top">  C.E. Shannon,   "A mathematical theory of communication"  ''Bell Systems Techn. J.'' , '''27'''  (1948)  pp. 379–423; 623–656</TD></TR><TR><TD valign="top">[3]</TD> <TD valign="top">  R. Gallagher,   "Information theory and reliable communication" , Wiley  (1968)</TD></TR><TR><TD valign="top">[4]</TD> <TD valign="top">  T. Berger,   "Rate distortion theory" , Prentice-Hall  (1971)</TD></TR></table>



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====References====
<table><TR><TD valign="top">[a1]</TD> <TD valign="top">  I. Csiszar,   J. Körner,   "Information theory. Coding theorems for discrete memoryless systems" , Akad. Kiado  (1981)</TD></TR></table>