Original paper
Singular spectral analysis‐based denoising without computing singular values via augmented Lagrange multiplier algorithm
Abstract
This study proposes an augmented Lagrange multiplier-based method to perform the singular spectral analysis-based denoising without computing the singular values. In particular, the one-dimensional (1D) signal is first mapped to a trajectory matrix using the window length null L
. Second, the trajectory matrix is represented as the sum of the signal dominant matrix and the noise-dominant matrix. The determination of these two matrices is...
Paper Details
Title
Singular spectral analysis‐based denoising without computing singular values via augmented Lagrange multiplier algorithm
Published Date
Apr 1, 2019
Journal
Volume
13
Issue
2
Pages
149 - 156
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Notes
History