Gumenyuk R. Methods and special processors of the double convolution for diagnostic signal spectral analysis

Subject of research-spectral analysis methods based on double convolution.Purpose-processing of new convolution methods wiht simplifing calculating algorythm and processors for diagnostic signals with restrised samples spectral analysis.Methods of research-theory of information,theory of digital automatic machines,statistic,correlation and spectral analysis of signals.Theoretical result-the availability of use of statistic functions with simplifing algorythm for signals spectral analysis by double convolution methods.Practical result-the development of special processors for spectral analysis of diagnostic signals for hard technological conditions functioning.Economic effect-due to successing factor stepping-up of hydroacoustic action on bottom hole and,in correspondence,oil production increasing.Sphere of usage-scientific research organizations,high education.