Journals
Books
Articles by keyword эмпирические моды
Empirical mode decomposition and its application to informative component identification and signal prediction with the use of neural networks
D. M. Klionsky, N. I. Oreshko, V. V. Geppener, I. V. Neunivakin
Complex approach to the problem of analyzing and processing multicomponent measurements signals on the basis of multiscale and spectral methods of high resolution
V.V. Geppener, D.M. Klionskiy., N.I. Oreshko
Empirical mode decomposition with combined algorithm for finding extrema
A.L. Priorov - Dr. Sc. (Eng.), Associate Professor, Yaroslavl State University
P.O. Pavlovichev - Post-graduate Student, Yaroslavl State University
A.I. Topnikov - Ph. D. (Eng.), Assistant, Yaroslavl State University
Modification of the stopping criterion for the sifting process under the signal decomposition to the empirical modes

P.O. Pavlovichev – Post-graduate Student, P.G. Demidov Yaroslavl State University E-mail: assault74@rambler.ru

A.L. Priorov – Dr.Sc. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University

E-mail: andcat@yandex.ru

A.I. Topnikov – Ph.D. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University E-mail: topartgroup@gmail.com

A method of window filtering of speech signals based on decomposition into empirical modes for systems for assessing a person's psychoemotional state

A.K. Alimuradov1, P.P. Churakov2, A.Y. Tychkov3, S.Y. Tverskaya4

1-4 Penza State University (Penza, Russia)