It is shown that application of classical methods of interference nitration do not always yield the desired result, and that useful information contained in interference is irretrievably lost. A positional binary methodology by means of which the positional components of a noisy signal may be separated into a useful signal and interference in the course of analog-to-digital conversion is proposed. The methodology makes it possible to separate interference for subsequent statistical analysis and, at the same time, supports highly efficient filtration of noisy signals.
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