An Exploratory Method for Smooth/Transient Decomposition

An Exploratory Method for Smooth/Transient Decomposition

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...

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Veröffentlicht in:IEEE signal processing letters 2020, Vol.27, p.890-894
1. Verfasser: Bayram, Ilker
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Amplitudes
Constrained filtering
Decomposition
empirical mode decomposition
gaussian process
Gaussian processes
Harmonic analysis
Heart
Linear systems
Optimization
Radar
signal decomposition
Signal processing algorithms
Transient analysis
vital signs monitoring
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Beschreibung
Zusammenfassung: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2020.2992877