Publications / Binary data recovery method with gaps

Wednesday, 05 August 2015
A method for restoring binary data based on maximizing the criterion for the frequency of data coincidences in homogeneous groups of information sources is proposed. The proposed method modifies the well-known filling methods where gaps are not critical. However, unlike them, it significantly increases the reliability of restoring the general population of binary data by analyzing the group properties of information sources.

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