Synthesis of nonparametric algorithms of recognition of groups of radio emissions with the average functions of plausibility by a method of histograms
G.V. Pevtsov, V.A. Lupandin
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Methods of synthesis, the analysis and optimization of key parameters of algorithms of recognition of groups of radio emissions with training are developed by construction of histograms. The received results develop on a case of nonparametric training the approaches offered earlier to synthesis of algorithms of recognition of the images given by complex reference descriptions as sets of reference values and (or) intervals of reference values of attributes (parameters) of radio emissions.
