Grouping and Selecting Singular Spectrum Analysis Components for Denoising Via Empirical Mode Decomposition Approach

Volume: 38, Issue: 1, Pages: 356 - 370
Published: Jun 8, 2018
Abstract
This paper proposes a threshold-free method for grouping and selecting the singular spectrum analysis (SSA) components for performing the signal denoising via the empirical mode decomposition (EMD) approach. First, the total number of the groups of the SSA components is selected to be the same as the total number of the intrinsic mode functions (IMFs) of the signal. The SSA components are assigned to the group where the absolute correlation...
Paper Details
Title
Grouping and Selecting Singular Spectrum Analysis Components for Denoising Via Empirical Mode Decomposition Approach
Published Date
Jun 8, 2018
Volume
38
Issue
1
Pages
356 - 370
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