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We propose a signal processing method that can identify an impulsive sources' location.
Then we propose a signal sparse subspace decomposition (3SD) method under this new criterion.
We propose a signal space test to study the cause of the artificial lines and we use multiple frequency data to reduce the effect from them.
In this work we propose a signal processing technique capable of identifying and characterizing the number of capacitor banks connected to a standard North-American feeder circuit.
In order to do so, we propose a signal model that leads us to tractable detection schemes while exploiting the temporal correlation jointly with spatial correlation.
We propose a signal masking method which in a plane combines local statistical and morphological features of the signal of interest.
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In this paper, we propose a signal-subspace implementation of the STP method.
We also propose a signal-to-noise ratio (SNR -based admiSNR -basedrol scheme thadmissiones vehicontrolth bad channel qualitiescheme remedy for thatpexcludesce anomaly problem.
We then propose a signal-to-noise ratio (SNR -based admiSNR -basedrol scheme thadmissiones vehicontrolth bad channel qualitieschemeddress thatpexcludesce anomaly problem.
(ii) We propose a signaling framework for TDD systems that enables distributed IA scheduling.
We propose a signaling pathway in which dopamine activates a calcium-independent phospholipase A2 in the medullary thick ascending limb.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com