Original paper
Grouping and selecting singular spectral analysis components for denoising based on empirical mode decomposition via integer quadratic programming
Abstract
This study proposes an integer quadratic programming method for grouping and selecting the singular spectral analysis components based on the empirical mode decomposition for performing the denoising. Here, the total number of the grouped singular spectral analysis components is equal to the total number of the intrinsic mode functions. The singular spectral analysis components are assigned to the group indexed by the corresponding intrinsic...
Paper Details
Title
Grouping and selecting singular spectral analysis components for denoising based on empirical mode decomposition via integer quadratic programming
Published Date
Jul 1, 2018
Journal
Volume
12
Issue
5
Pages
599 - 604
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History