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Dynamically sampled multivariate empirical mode decomposition

Rehman, N and Ehsan, S and Naveed, K and McDonald-Maier, KD and Safdar, MW (2015) 'Dynamically sampled multivariate empirical mode decomposition.' Electronics Letters, 51 (24). 2049 - 2051. ISSN 0013-5194

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Abstract

A method for accurate multivariate local mean estimation in the multivariate empirical mode decomposition algorithm by using a statistical data-driven approach based on the Menger curvature measure and normal-to-anything variate-generation method is proposed. This is achieved by aligning the projection vectors in the direction of the maximum `activity' of the input signal by considering the local curvature of the signal in multidimensional spaces, resulting in accurate mean estimation even for a very small number of projection vectors.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 12 Feb 2016 11:35
Last Modified: 02 Jun 2020 16:16
URI: http://repository.essex.ac.uk/id/eprint/15742

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