Results 11 to 20 of about 1,219,628 (202)
Step detection in single-molecule real time trajectories embedded in correlated noise. [PDF]
Single-molecule real time trajectories are embedded in high noise. To extract kinetic or dynamic information of the molecules from these trajectories often requires idealization of the data in steps and dwells.
Srikesh G Arunajadai, Wei Cheng
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Coding Schemes in the Archerfish Optic Tectum
Many studies have yielded valuable knowledge on the early visual system but it is biased since the studies have focused on terrestrial mammals alone. Here, to better account for visual systems in different environments and animal classes, we studied the ...
Adam Reichenthal +2 more
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The displacement of Global Navigation Satellite System (GNSS) station contains the information of surface elastic deformation caused by the variation of land water reserves.
Yuefan He +3 more
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White noise analysis for Lévy processes
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Di Nunno, Giulia +2 more
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The operators of stochastic differentiation, which are closely related with the extended Skorohod stochastic integral and with the Hida stochastic derivative, play an important role in the classical (Gaussian) white noise analysis.
N.A. Kachanovsky
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Noise behavior in CGPS position time series: the eastern North America case study
We analyzed the noise characteristics of 112 continuously operating GPS stations in eastern North America using the Spectral Analysis and the Maximum Likelihood Estimation (MLE) methods.
Goudarzi M. A., Cocard M., Santerre R.
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Objective: To investigate the clinical effects of white noise intervention combined with multi-dimensional nursing mode in patients receiving hip replacement (HR).
Meng Tian, Xing Gu
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Fedosov Quantization in White Noise Analysis [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Clark-Ocone type formulas in the Meixner white noise analysis
In the classical Gaussian analysis the Clark-Ocone formula allows to reconstruct an integrand if we know the Ito stochastic integral. This formula can be written in the form$$F=\mathbf EF+\int\mathbf E\big\{\partial_t F|_{\mathcal F_t}\big\}dW_t,$$where ...
N. A. Kachanovsky
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Noise suppression in PD signal based on Prony time series energy spectrum
On‐line partial discharge (PD) monitoring is related to the safe and stable operation of power grid. However, the measured signal is inevitably affected by noise. Among a variety of noises, white noise is the most difficult to suppress and ubiquitous. It
Chang Wang +4 more
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