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An Exploratory Method for Smooth/Transient Decomposition
DOI:10.1109/LSP.2020.2992877.png)
摘要
En 中文
We consider a separation problem where the observation consists of the sum of a high amplitude smooth signal and a low amplitude transient signal. We propose a method for decomposition that relies on solving instances of a 'constrained filtering problem,' which is posed as a convex minimization problem. We provide a fast algorithm for solving the minimization problem, and demonstrate the potential of the scheme on a vital signs monitoring experiment using radar.
Keyword:
Constrained filtering
gaussian process
signal decomposition
empirical mode decomposition
vital signs monitoring
radar
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期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
Image Decomposition and Separation Using Sparse Representations: An Overview
PROCEEDINGS OF THE IEEE
IF25.9

