Отбор информативных признаков при обучении распознаванию образов с упорядоченными признаками

The task of interrelated features selection is considered. A lot of approaches assume that feature vector is unordered set of numerical coefficients. However in some tasks features are serial measurement along some axes, for example, counts of some kind of signal. The technique of feature selection using a priori information about one-dimensional order is suggested.