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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

In this paper, empirical mode decomposition as analysis and processing method is examined. This method was developed by Norden Huang and his colleagues in 1998. This technique can be used for analysis non-stationary signals and characterizes such properties as a posteriori, adaptability and originality. The one of the stages of empirical mode decomposition algorithm is searching signal’s extrema. Method of inequalities is the basic way for this searching. Also, alternative way exists, and it is called parabolic interpolation. This technique was proposed by Klionsky in 2011. Practical realization of interpolation gave us some features: frequency dependence of threshold and inaccuracy of algorithm, which making some troubles for decomposition. To overcome this difficulty combined algorithm was proposed, and comparison combined algorithm and method of inequalities was showed the advantages of first way. Thus, improvement of procedure of searching extrema was achieved.

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