[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5573/IEIESPC.2015.4.2.089

Review of Data-Driven Multivariate and Multiscale Methods

Park, Cheolsoo (Department of Computer Engineering, Kwangwoon University)

Publication Information

IEIE Transactions on Smart Processing and Computing / v.4, no.2, 2015 , pp. 89-96 More about this Journal

Abstract

In this paper, time-frequency analysis algorithms, empirical mode decomposition and local mean decomposition, are reviewed and their applications to nonlinear and nonstationary real-world data are discussed. In addition, their generic extensions to complex domain are addressed for the analysis of multichannel data. Simulations of these algorithms on synthetic data illustrate the fundamental structure of the algorithms and how they are designed for the analysis of nonlinear and nonstationary data. Applications of the complex version of the algorithms to the synthetic data also demonstrate the benefit of the algorithms for the accurate frequency decomposition of multichannel data.

Keywords

Nonlinearity; Nonstationarity; Empirical mode decomposition; Local mean decomposition; Multivariate algorithm;

Citations & Related Records

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