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 |
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| container_title | IEEE signal processing letters |
| container_volume | 27 |
| creator | Bayram, Ilker |
| description | 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. |
| doi_str_mv | 10.1109/LSP.2020.2992877 |
| format | Article |
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| issn | 1070-9908 1558-2361 |
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| source | IEEE Electronic Library (IEL) |
| subjects | 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 |
| title | An Exploratory Method for Smooth/Transient Decomposition |
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