Abstract
It is shown that, in order to increase the compression ratio in the course of statistical arithmetic coding, it is necessary to take into account the conditional probabilities of code symbols when the preceding symbols appear. The problem of obtaining the location of the most significant symbols when encoding the current symbol is solved by calculating the autocorrelation function of the encoded symbols. An algorithm for arithmetic coding and decoding is provided, which takes into account the dependencies between the coefficients of the wavelet transform and the results of modeling its operation.
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