Annotation:
We know the optimal quantization of information in the sense of fi lling, which implies fi nding the
optimal time quantum of information for a given probability distribution and the minimum value
of the mathematical expectation of time for it, provided that the quanta are separated by constant
specifi ed spaces. In this paper, we propose an inverse quantization to this quantization, which we call
direct. In it, the quanta are fi xed, known in advance, and the values of the gaps between the quanta
are random, characterized by a probability distribution. The quanta themselves can have any object
type, not just information. To formalize the proposed idea, the article examines an example of reverse
quantization for a “heavy” probability distribution – a uniform distribution. Partial components of
quantization are considered: information, spaces, and the number of cycles. Two variants are studied in
the absence of errors and in the presence of errors of quantum elements. The conclusion is made in
favor of reverse quantization. It can be applied more widely in practice.
Key words:
Quantum, quantization, direct and return, expenses, the information, a blank, a population mean
minimum, distribution of probabilities